25.2.2.3.4 Recognize Text in General Scenes

Chapter Contents (Back)
Document Analysis. Scene Text.
See also Find Text in Video Scenes. Specific to reading signs:
See also Recognize Text, Read Text from Signs in General Scenes. And for traffic sign issues:
See also Road Signs, Traffic Signs.

Ikica, A.[Andrej], Peer, P.[Peter],
Computer Vision Lab OCR DataBase: CVL OCR DB,
2011. A public annotated image database of text in natural scenes
WWW Link. Dataset, Text in Images. BibRef

Lienhart, R., Wernicke, A.,
Localizing and segmenting text in images and videos,
CirSysVideo(12), No. 4, April 2002, pp. 256-268.
IEEE Top Reference. 0205
BibRef

Lienhart, R.,
Video OCR: A Survey and Practitioner's Guide,
VideoMining03(Chapter 6). Survey, OCR. BibRef 0300

Clark, P.[Paul], Mirmehdi, M.[Majid],
Recognising Text in Real Scenes,
IJDAR(4), No. 4, 2002, pp. 243-257.
Springer DOI 0208
Find page boundaries or use neural net based texture. BibRef
Earlier:
Combining Statistical Measures to Find Image Text Regions,
ICPR00(Vol I: 450-453).
IEEE DOI 0009
BibRef
And:
Finding Text Regions using Localised Statistical Measures,
BMVC00(xx-yy).
PDF File. 0009

See also Rectifying Perspective Views of Text in 3D Scenes Using Vanishing Points. BibRef

Merino-Gracia, C.[Carlos], Lenc, K.[Karel], Mirmehdi, M.[Majid],
A Head-Mounted Device for Recognizing Text in Natural Scenes,
CBDAR11(29-41).
Springer DOI 1204
BibRef

Jung, K.C.[Kee-Chul], Kim, K.I.[Kwang In], Jain, A.K.[Anil K.],
Text information extraction in images and video: a survey,
PR(37), No. 5, May 2004, pp. 977-997.
Elsevier DOI 0405
Survey, Text Extraction. BibRef

Mancas-Thillou, C.[Celine], Gosselin, B.[Bernard],
Color text extraction with selective metric-based clustering,
CVIU(107), No. 1-2, July-August 2007, pp. 97-107.
Elsevier DOI 0706
BibRef
Earlier:
Character Segmentation-by-Recognition Using Log-Gabor Filters,
ICPR06(II: 901-904).
IEEE DOI 0609
BibRef
Earlier:
Color text extraction from camera-based images: The impact of the choice of the clustering distance,
ICDAR05(I: 312-316).
IEEE DOI 0508
BibRef
Earlier:
Color Binarization for Complex Camera-based Images,
SPIE(NNNN), 2005. Electronic Imaging, pp. 301-308.
WWW Link. Clustering; Cosine-based similarity; Diffuse and specular surfaces; Natural scene; Text understanding BibRef

Liu, X.B.[Xia-Bi], Fu, H.[Hui], Jia, Y.D.[Yun-De],
Gaussian mixture modeling and learning of neighboring characters for multilingual text extraction in images,
PR(41), No. 2, February 2008, pp. 484-493.
Elsevier DOI 0711
Text extraction; Document analysis; Character recognition; Image retrieval; Gaussian mixture models; Discriminative training; EM algorithm BibRef

Fu, H.[Hui], Liu, X.B.[Xia-Bi], Jia, Y.D.[Yun-De], Deng, H.B.[Hong-Bin],
Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images,
ICIP06(3321-3324).
IEEE DOI 0610
BibRef

Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin], Huang, J.[Jun], Yu, H.[Hua],
Text detection and restoration in natural scene images,
JVCIR(18), No. 6, December 2007, pp. 504-513.
Elsevier DOI 0711
Text detection; Text recognition; Text restoration BibRef

Chen, M., Wu, W., Yang, X., He, X.,
Hidden-Markov-Model-Based Segmentation Confidence Applied to Container Code Character Extraction,
ITS(12), No. 4, December 2011, pp. 1147-1156.
IEEE DOI 1112
BibRef

González, Á.[Álvaro], Bergasa, L.M.[Luis Miguel],
A text reading algorithm for natural images,
IVC(31), No. 3, March 2013, pp. 255-274.
Elsevier DOI 1303
Text detection; Text recognition; Character recognition; Character segmentation; Natural images; Scene text detection BibRef

Gonzalez, A.[Alvaro], Bergasa, L.M.[Luis M.], Yebes, J.J.[J. Javier], Bronte, S.[Sebastian],
A character recognition method in natural scene images,
ICPR12(621-624).
WWW Link. 1302
BibRef

Elagouni, K.[Khaoula], Garcia, C.[Christophe], Mamalet, F.[Franck], Sebillot, P.[Pascale],
Text recognition in multimedia documents: A study of two neural-based OCRs using and avoiding character segmentation,
IJDAR(17), No. 1, March 2014, pp. 19-31.
Springer DOI 1403
BibRef

Tu, K.W.[Ke-Wei], Meng, M.[Meng], Lee, M.W.[Mun Wai], Choe, T.E.[Tae Eun], Zhu, S.C.[Song-Chun],
Joint Video and Text Parsing for Understanding Events and Answering Queries,
MultMedMag(21), No. 2, April 2014, pp. 42-70.
IEEE DOI 1407
Computational modeling BibRef

Wei, X.Y.[Xiao-Yong], Yang, Z.Q.[Zhen-Qun], Ngo, C.W.[Chong-Wah], Zhang, W.[Wei],
Visual Typo Correction by Collocative Optimization: A Case Study on Merchandize Images,
IP(23), No. 2, February 2014, pp. 527-540.
IEEE DOI 1402
Web sites BibRef

Wang, R., Sang, N., Gao, C.,
Scene Text Identification by Leveraging Mid-level Patches and Context Information,
SPLetters(22), No. 7, July 2015, pp. 963-967.
IEEE DOI 1402
Character recognition BibRef

Milyaev, S.[Sergey], Barinova, O.[Olga], Novikova, T.[Tatiana], Kohli, P.[Pushmeet], Lempitsky, V.[Victor],
Fast and accurate scene text understanding with image binarization and off-the-shelf OCR,
IJDAR(18), No. 2, June 2015, pp. 169-182.
Springer DOI 1506
BibRef

Seok, J.H.[Jae-Hyun], Kim, J.H.[Jin Hyung],
Scene text recognition using a Hough forest implicit shape model and semi-Markov conditional random fields,
PR(48), No. 11, 2015, pp. 3584-3599.
Elsevier DOI 1506
BibRef
Earlier:
Scene Text Recognition with a Hough Forest Implicit Shape Model,
ICDAR13(599-603)
IEEE DOI 1312
dynamic programming. Scene text recognition BibRef

Blekhman, A., Wachs, J.P., Dori, D.,
Model-Based System Specification With Tesperanto: Readable Text From Formal Graphics,
SMCS(45), No. 11, November 2015, pp. 1448-1458.
IEEE DOI 1511
Analytical models BibRef

Zhong, G.Q.[Guo-Qiang], Cheriet, M.[Mohamed],
Tensor representation learning based image patch analysis for text identification and recognition,
PR(48), No. 4, 2015, pp. 1211-1224.
Elsevier DOI 1502
Tensor representation learning BibRef

Fraz, M.[Muhammad], Sarfraz, M.S.[Muhammad Saquib], Edirisinghe, E.A.[Eran A.],
Exploiting colour information for better scene text detection and recognition,
IJDAR(18), No. 2, June 2015, pp. 153-167.
Springer DOI 1506
BibRef
Earlier:
Exploiting Color Information for Better Scene Text Recognition,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Ye, Q.X.[Qi-Xiang], Doermann, D.S.[David S.],
Text Detection and Recognition in Imagery: A Survey,
PAMI(37), No. 7, July 2015, pp. 1480-1500.
IEEE DOI 1506
Survey, Text Detection. Character recognition BibRef

Rodriguez-Serrano, J.A.[Jose A.], Gordo, A.[Albert], Perronnin, F.[Florent],
Label Embedding: A Frugal Baseline for Text Recognition,
IJCV(113), No. 3, July 2015, pp. 193-207.
Springer DOI 1506
Word level based. BibRef

Yu, C.[Chong], Song, Y.H.[Yong-Hong], Meng, Q.[Quan], Zhang, Y.L.[Yuan-Lin], Liu, Y.[Yang],
Text detection and recognition in natural scene with edge analysis,
IET-CV(9), No. 4, 2015, pp. 603-613.
DOI Link 1509
BibRef
Earlier: A3, A2, A4, A5, Only:
Text detection in natural scene with edge analysis,
ICIP13(4151-4155)
IEEE DOI 1402
edge detection. Text detection; edge analysis; edge combination. BibRef

Wang, X.B.[Xiao-Bing], Song, Y.H.[Yong-Hong], Zhang, Y.L.[Yuan-Lin], Xin, J.M.[Jing-Min],
Natural scene text detection with multi-layer segmentation and higher order conditional random field based analysis,
PRL(60-61), No. 1, 2015, pp. 41-47.
Elsevier DOI 1506
BibRef
Earlier: A1, A2, A3, Only:
Natural Scene Text Detection with Multi-channel Connected Component Segmentation,
ICDAR13(1375-1379)
IEEE DOI 1312
Scene text detection. Markov processes BibRef

Chen, Q.[Qi], Song, Y.H.[Yong-Hong], Zhang, Y.L.[Yuan-Lin],
Scene text extraction with local symmetry transform,
MVA17(246-249)
DOI Link 1708
Adaptation models, Color, Feature extraction, Image color analysis, Image edge detection, Image segmentation, Transforms BibRef

Feng, Y.Y.[Yuan-Yuan], Song, Y.H.[Yong-Hong], Zhang, Y.L.[Yuan-Lin],
Scene text detection based on multi-scale SWT and edge filtering,
ICPR16(645-650)
IEEE DOI 1705
Feature extraction, Filtering, Image color analysis, Image edge detection, Joining processes, Reflection, Transforms, edge density of a connected component, multi-scale, stroke pair ratio, stroke width transform, text, detection BibRef

Mishra, A.[Anand], Alahari, K.[Karteek], Jawahar, C.V.,
Enhancing energy minimization framework for scene text recognition with top-down cues,
CVIU(145), No. 1, 2016, pp. 30-42.
Elsevier DOI 1604
BibRef
Earlier:
Scene Text Recognition using Higher Order Language Priors,
BMVC12(127).
DOI Link 1301
BibRef
Earlier:
Top-down and bottom-up cues for scene text recognition,
CVPR12(2687-2694).
IEEE DOI 1208
BibRef
And:
An MRF Model for Binarization of Natural Scene Text,
ICDAR11(11-16).
IEEE DOI 1111
Scene text understanding BibRef

Roy, U.[Udit], Mishra, A.[Anand], Alahari, K.[Karteek], Jawahar, C.V.,
Scene Text Recognition and Retrieval for Large Lexicons,
ACCV14(I: 494-508).
Springer DOI 1504
BibRef

Goel, V., Mishra, A., Alahari, K., Jawahar, C.V.,
Whole is Greater than Sum of Parts: Recognizing Scene Text Words,
ICDAR13(398-402)
IEEE DOI 1312
character recognition BibRef

Hinami, R.[Ryota], Liu, X.H.[Xin-Hao], Chiba, N.[Naoki], Satoh, S.[Shin'ichi],
Bidirectional extraction and recognition of scene text with layout consistency,
IJDAR(19), No. 2, June 2016, pp. 83-98.
Springer DOI 1605
BibRef

Neumann, L.[Lukas], Matas, J.G.[Jiri G.],
Real-Time Lexicon-Free Scene Text Localization and Recognition,
PAMI(38), No. 9, September 2016, pp. 1872-1885.
IEEE DOI 1609
BibRef
Earlier:
Real-time scene text localization and recognition,
CVPR12(3538-3545).
IEEE DOI 1208
image classification BibRef

Tian, S.X.[Shang-Xuan], Bhattacharya, U.[Ujjwal], Lu, S.J.[Shi-Jian], Su, B.L.[Bo-Lan], Wang, Q.Q.[Qing-Qing], Wei, X.H.[Xiao-Hua], Lu, Y.[Yue], Tan, C.L.[Chew Lim],
Multilingual scene character recognition with co-occurrence of histogram of oriented gradients,
PR(51), No. 1, 2016, pp. 125-134.
Elsevier DOI 1601
Multilingual Scene Text BibRef
Earlier: A1, A3, A4, A8, Only:
Scene Text Segmentation with Multi-level Maximally Stable Extremal Regions,
ICPR14(2703-2708)
IEEE DOI 1412
BibRef
Earlier: A1, A3, A4, A8, Only:
Scene Text Recognition Using Co-occurrence of Histogram of Oriented Gradients,
ICDAR13(912-916)
IEEE DOI 1312
Feature extraction. gradient methods BibRef

Su, B.L.[Bo-Lan], Lu, S.J.[Shi-Jian], Tian, S.X.[Shang-Xuan], Lim, J.H.[Joo Hwee], Tan, C.L.[Chew Lim],
Character Recognition in Natural Scenes Using Convolutional Co-occurrence HOG,
ICPR14(2926-2931)
IEEE DOI 1412
Accuracy BibRef

Tan, Z.R.[Zhi Rong], Tian, S.X.[Shang-Xuan], Tan, C.L.[Chew Lim],
Using pyramid of histogram of oriented gradients on natural scene text recognition,
ICIP14(2629-2633)
IEEE DOI 1502
Character recognition BibRef

Su, B.[Bolan], Lu, S.J.[Shi-Jian],
Accurate recognition of words in scenes without character segmentation using recurrent neural network,
PR(63), No. 1, 2017, pp. 397-405.
Elsevier DOI 1612
BibRef
Earlier:
Accurate Scene Text Recognition Based on Recurrent Neural Network,
ACCV14(I: 35-48).
Springer DOI 1504
Scene text recognition BibRef

Su, B.[Bolan], Zhang, X.[Xi], Lu, S.J.[Shi-Jian], Tan, C.L.[Chew Lim],
Segmented handwritten text recognition with recurrent neural network classifiers,
ICDAR15(386-390)
IEEE DOI 1511
BibRef

Zhang, M.M.[Meng-Meng], Zhu, A.[Ang], Liu, Z.[Zhi],
Fast Coding-Mode Selection and CU-Depth Prediction Algorithm Based on Text-Block Recognition for Screen Content Coding,
IEICE(E99-D), No. 10, October 2016, pp. 2651-2655.
WWW Link. 1610
BibRef

Jaderberg, M.[Max], Simonyan, K.[Karen], Vedaldi, A.[Andrea], Zisserman, A.[Andrew],
Reading Text in the Wild with Convolutional Neural Networks,
IJCV(116), No. 1, January 2016, pp. 1-20.
Springer DOI 1601
BibRef
Earlier:
Speeding up Convolutional Neural Networks with Low Rank Expansions,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Gupta, A., Vedaldi, A.[Andrea], Zisserman, A.[Andrew],
Synthetic Data for Text Localisation in Natural Images,
CVPR16(2315-2324)
IEEE DOI 1612
BibRef

Shivakumara, P.[Palaiahnakote], Raghavendra, R., Qin, L.F.[Long-Fei], Raja, K.B.[Kiran B.], Lu, T.[Tong], Pal, U.[Umapada],
A new multi-modal approach to bib number/text detection and recognition in Marathon images,
PR(61), No. 1, 2017, pp. 479-491.
Elsevier DOI 1705
Upper body detection BibRef

Gerke, S.[Sebastian], Linnemann, A.[Antje], Müller, K.[Karsten],
Soccer player recognition using spatial constellation features and jersey number recognition,
CVIU(159), No. 1, 2017, pp. 105-115.
Elsevier DOI 1706
BibRef

Gerke, S.[Sebastian], Müller, K.[Karsten], Schafer, R.,
Soccer Jersey Number Recognition Using Convolutional Neural Networks,
CVSports15(734-741)
IEEE DOI 1602
Cameras BibRef

Titijaroonroj, T.[Taravichet], Woraratpanya, K.[Kuntpong],
Iteration-Free Bi-Dimensional Empirical Mode Decomposition and Its Application,
IEICE(E100-D), No. 9, September 2017, pp. 2183-2196.
WWW Link. 1709
Decomposing non-linear and non-stationary signals without a prior function. BibRef

Yang, C.S.[Chu-Sing], Yang, Y.H.[Yung-Hsuan],
Improved local binary pattern for real scene optical character recognition,
PRL(100), No. 1, 2017, pp. 14-21.
Elsevier DOI 1712
Local binary pattern BibRef

Lee, S.H.[Shih-Hsiung], Yu, W.F.[Wei-Fu], Yang, C.S.[Chu-Sing],
ILBPSDNet: Based on improved local binary pattern shallow deep convolutional neural network for character recognition,
IET-IPR(16), No. 3, 2022, pp. 669-680.
DOI Link 2202
BibRef

Lei, Z.C.[Zheng-Chao], Zhao, S.Y.[San-Yuan], Song, H.M.[Hong-Mei], Shen, J.B.[Jian-Bing],
Scene text recognition using residual convolutional recurrent neural network,
MVA(29), No. 5, July 2018, pp. 861-871.
WWW Link. 1808
BibRef

Vidakis, D.G.[Dimitrios G.], Kosmopoulos, D.I.[Dimitrios I.],
Facilitation of air traffic control via optical character recognition-based aircraft registration number extraction,
IET-ITS(12), No. 8, October 2018, pp. 965-975.
DOI Link 1809
BibRef

NguyenVan, D.[Dinh], Lu, S.J.[Shi-Jian], Tian, S.X.[Shang-Xuan], Ouarti, N.[Nizar], Mokhtari, M.[Mounir],
A pooling based scene text proposal technique for scene text reading in the wild,
PR(87), 2019, pp. 118-129.
Elsevier DOI 1812
Scene text proposal, Pooling based grouping, Scene text detection, Scene text reading, Scene text spotting BibRef

Liu, X.[Xiyan], Meng, G.F.[Gao-Feng], Pan, C.H.[Chun-Hong],
Scene text detection and recognition with advances in deep learning: A survey,
IJDAR(22), No. 2, June 2019, pp. 143-162.
WWW Link. 1906
Survey, Scene Text. BibRef

Wang, D.Z.[Dong-Zhe], Mao, K.[Kezhi],
Learning Semantic Text Features for Web Text-Aided Image Classification,
MultMed(21), No. 12, December 2019, pp. 2985-2996.
IEEE DOI 1912
Training data for CNN from web searches. Semantics, Feature extraction, Training, Task analysis, Visualization, Neural networks, Correlation, web image search BibRef

Zheng, Y.C.[Yu-Chen], Iwana, B.K.[Brian Kenji], Uchida, S.I.[Sei-Ichi],
Mining the displacement of max-pooling for text recognition,
PR(93), 2019, pp. 558-569.
Elsevier DOI 1906
Convolutional neural networks, Max-pooling, Displacement feature, Text recognition BibRef

Li, J.M.[Jia-Ming], Zhang, C.Q.[Cheng-Quan], Sun, Y.P.[Yi-Peng], Han, J.Y.[Jun-Yu], Ding, E.[Errui],
Detecting Text in the Wild with Deep Character Embedding Network,
ACCV18(IV:501-517).
Springer DOI 1906
BibRef

Sun, Y.P.[Yi-Peng], Zhang, C.Q.[Cheng-Quan], Huang, Z.[Zuming], Liu, J.M.[Jia-Ming], Han, J.Y.[Jun-Yu], Ding, E.[Errui],
TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network,
ACCV18(III:83-99).
Springer DOI 1906
BibRef

Shi, B.G.[Bao-Guang], Yang, M.K.[Ming-Kun], Wang, X.G.[Xing-Gang], Lyu, P.Y.[Peng-Yuan], Yao, C.[Cong], Bai, X.[Xiang],
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification,
PAMI(41), No. 9, Sep. 2019, pp. 2035-2048.
IEEE DOI 1908
Text recognition, Character recognition, Detectors, Decoding, Recurrent neural networks, Proposals, Scene text recognition, sequence-to-sequence learning BibRef

Shi, B.G.[Bao-Guang], Yao, C.[Cong], Zhang, C.Q.[Cheng-Quan], Guo, X.W.[Xiao-Wei], Huang, F.Y.[Fei-Yue], Bai, X.[Xiang],
Automatic script identification in the wild,
ICDAR15(531-535)
IEEE DOI 1511
BibRef

Tang, Y., Wu, X.,
Scene Text Detection Using Superpixel-Based Stroke Feature Transform and Deep Learning Based Region Classification,
MultMed(20), No. 9, September 2018, pp. 2276-2288.
IEEE DOI 1809
character recognition, feature extraction, image classification, image resolution, neural nets, region classification BibRef

Karaoglu, S., Tao, R., van Gemert, J.C., Gevers, T.,
Con-Text: Text Detection for Fine-Grained Object Classification,
IP(26), No. 8, August 2017, pp. 3965-3980.
IEEE DOI 1707
image classification, image retrieval, object detection, bigrams, con-text, end-to-end character recognition, fine-grained classification, spatial pairwise constraints, BibRef

Gómez, L.[Lluís], Karatzas, D.[Dimosthenis],
TextProposals: A text-specific selective search algorithm for word spotting in the wild,
PR(70), No. 1, 2017, pp. 60-74.
Elsevier DOI 1706
Object, proposals BibRef

Yang, C., Yin, X.C., Pei, W.Y., Tian, S., Zuo, Z.Y., Zhu, C., Yan, J.,
Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming,
IP(26), No. 7, July 2017, pp. 3235-3248.
IEEE DOI 1706
Distortion, Dynamic programming, Feature extraction, Robustness, Text recognition, Tracking, Videos, Scene text detection, BibRef

Wang, F.L.[Feng-Lei], Guo, Q.A.[Qi-Ang], Lei, J.[Jun], Zhang, J.[Jun],
Convolutional recurrent neural networks with hidden Markov model bootstrap for scene text recognition,
IET-CV(11), No. 6, September 2017, pp. 497-504.
DOI Link 1709
BibRef

Li, S.H.[Shuo-Hao], Tang, M.[Min], Guo, Q.A.[Qi-Ang], Lei, J.[Jun], Zhang, J.[Jun],
Deep Neural Network with Attention Model for Scene Text Recognition,
IET-CV(11), No. 7, October 2017, pp. 605-612.
DOI Link 1709
BibRef

Yang, H.D.[Hao-Dong], Li, S.H.[Shuo-Hao], Yin, X.Q.[Xiao-Qing], Han, A.Q.[An-Qi], Zhang, J.[Jun],
Recurrent Highway Networks with Attention Mechanism for Scene Text Recognition,
DICTA17(1-8)
IEEE DOI 1804
feature extraction, image recognition, image segmentation, learning (artificial intelligence), text analysis, Text recognition BibRef

Chen, X., Guo, Q.A.[Qi-Ang], Li, S.H.[Shuo-Hao], Zhang, J.[Jun],
Holistic Vertical Regional Proposal Network for Scene Text Detection,
ICIVC17(72-77)
IEEE DOI 1708
Computational modeling, Feature extraction, Image edge detection, Machine learning, Neural networks, Object detection, Proposals, regional proposal network, scene text detection, side-outputs, vertical, anchors BibRef

Lakshmi, T.R.V.[T. R. Vijaya], Sastry, P.N.[P. Narahari], Rajinikanth, T.V.,
Feature selection to recognize text from palm leaf manuscripts,
SIViP(12), No. 2, February 2018, pp. 223-229.
Springer DOI 1802
BibRef

Liao, M., Shi, B., Bai, X.,
TextBoxes++: A Single-Shot Oriented Scene Text Detector,
IP(27), No. 8, August 2018, pp. 3676-3690.
IEEE DOI 1806
image recognition, text detection, 1024 ICDAR 2015 incidental text images, word spotting BibRef

Yalniz, I.Z.[Ismet Zeki], Manmatha, R.,
Dependence Models for Searching Text in Document Images,
PAMI(41), No. 1, January 2019, pp. 49-63.
IEEE DOI 1812
Optical character recognition software, Visualization, Feature extraction, Text recognition, Noise measurement, Engines, word spotting BibRef

Yalniz, I.Z.[Ismet Zeki], Gray, D.[Douglas], Manmatha, R.,
Efficient Exploration of Text Regions in Natural Scene Images Using Adaptive Image Sampling,
IWRR16(I: 427-439).
Springer DOI 1611
BibRef

Liu, Z.C.[Zi-Chuan], Lin, G.S.[Guo-Sheng], Goh, W.L.[Wang Ling],
Bottom-Up Scene Text Detection with Markov Clustering Networks,
IJCV(128), No. 6, June 2020, pp. 1786-1809.
Springer DOI 2006
BibRef

Liu, Z.C.[Zi-Chuan], Lin, G.S.[Guo-Sheng], Yang, S., Feng, J., Lin, W., Goh, W.L.[Wang Ling],
Learning Markov Clustering Networks for Scene Text Detection,
CVPR18(6936-6944)
IEEE DOI 1812
Markov processes, IP networks, Pattern recognition, Flow graphs, Correlation BibRef

Luo, C.J.[Can-Jie], Jin, L.W.[Lian-Wen], Sun, Z.H.[Zeng-Hui],
MORAN: A Multi-Object Rectified Attention Network for scene text recognition,
PR(90), 2019, pp. 109-118.
Elsevier DOI 1903
Scene text recognition, Optical character recognition, Deep learning BibRef

Wang, Y.Z.[Yi-Zhi], Lian, Z.H.[Zhou-Hui], Tang, Y.M.[Ying-Min], Xiao, J.G.[Jian-Guo],
Boosting scene character recognition by learning canonical forms of glyphs,
IJDAR(22), No. 3, September 2019, pp. 209-219.
Springer DOI 1909
BibRef

Liu, Y., Jin, L., Fang, C.,
Arbitrarily Shaped Scene Text Detection With a Mask Tightness Text Detector,
IP(29), 2020, pp. 2918-2930.
IEEE DOI 2002
Proposals, Shape, Text recognition, Training, Detectors, Benchmark testing, Feature extraction, Scene text, segmentation BibRef

Hong, S.Y.[Seong-Yun],
Linguistic Landscapes on Street-Level Images,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Villamizar, M.[Michael], Canévet, O.[Olivier], Odobez, J.M.[Jean-Marc],
Multi-scale sequential network for semantic text segmentation and localization,
PRL(129), 2020, pp. 63-69.
Elsevier DOI 2001
BibRef

Chen, C.L.P., Feng, S.,
Generative and Discriminative Fuzzy Restricted Boltzmann Machine Learning for Text and Image Classification,
Cyber(50), No. 5, May 2020, pp. 2237-2248.
IEEE DOI 2005
Data models, Training, Neurons, Image reconstruction, Feature extraction, Computational modeling, Cybernetics, image classification BibRef

Tong, G.F.[Guo-Feng], Li, Y.[Yong], Gao, H.S.[Hua-Shuai], Chen, H.R.[Huai-Rong], Wang, H.[Hao], Yang, X.[Xiang],
MA-CRNN: a multi-scale attention CRNN for Chinese text line recognition in natural scenes,
IJDAR(23), No. 2, June 2020, pp. 103-114.
Springer DOI 2005
BibRef

Xu, J.C.[Jin-Cheng], Du, Q.[Qingfeng],
Learning transferable features in meta-learning for few-shot text classification,
PRL(135), 2020, pp. 271-278.
Elsevier DOI 2006
Transfer learning, MAML, Few-shot learning, Text classification BibRef

Zhang, J.X.[Jia-Xin], Luo, C.J.[Can-Jie], Jin, L.W.[Lian-Wen], Wang, T.W.[Tian-Wei], Li, Z.Y.[Zi-Yan], Zhou, W.Y.[Wei-Ying],
SaHAN: Scale-Aware Hierarchical Attention Network for Scene Text Recognition,
PRL(136), 2020, pp. 205-211.
Elsevier DOI 2008
Scene text recognition, Character scale-variation problem, Multi-scale features, Hierarchical attention decoder BibRef

Ren, Y.J.[Yu-Jin], Zhang, J.X.[Jia-Xin], Chen, B.D.[Bang-Dong], Zhang, X.Y.[Xiao-Yi], Jin, L.W.[Lian-Wen],
Looking from a Higher-level Perspective: Attention and Recognition Enhanced Multi-scale Scene Text Segmentation,
ACCV22(VII:643-659).
Springer DOI 2307
BibRef

Qiao, Z., Zhou, Y., Yang, D., Zhou, Y., Wang, W.,
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition,
CVPR20(13525-13534)
IEEE DOI 2008
Semantics, Text recognition, Decoding, Visualization, Task analysis, Feature extraction, Image recognition BibRef

Zhao, J.Y.[Jin-Yuan], Wang, Y.[Yanna], Xiao, B.H.[Bai-Hua], Shi, C.[Cunzhao], Jiang, J.[Jingzhong], Wang, C.H.[Chun-Heng],
Adversarial learning based attentional scene text recognizer,
PRL(138), 2020, pp. 217-222.
Elsevier DOI 1806
Scene text recognition, Generative adversarial network, Image rectification BibRef

Guan, Y., Li, X.,
Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label Manifold Regularization and Confidence Constraint,
MultMedMag(27), No. 4, October 2020, pp. 38-47.
IEEE DOI 2012
Text categorization, Benchmark testing, Correlation, Bayes methods, Computational modeling, Computer science, Sparse matrices BibRef

Zhang, H.[Hui], Yao, Q.M.[Quan-Ming], Yang, M.K.[Ming-Kun], Xu, Y.C.[Yong-Chao], Bai, X.[Xiang],
Autostr: Efficient Backbone Search for Scene Text Recognition,
ECCV20(XXIV:751-767).
Springer DOI 2012
BibRef

Lin, Q.X.[Qing-Xiang], Luo, C.J.[Can-Jie], Jin, L.W.[Lian-Wen], Lai, S.X.[Song-Xuan],
STAN: A sequential transformation attention-based network for scene text recognition,
PR(111), 2021, pp. 107692.
Elsevier DOI 2012
Scene text recognition, Scene text rectification, Optical character recognition, Deep learning BibRef

Dai, P., Zhang, H., Cao, X.,
SLOAN: Scale-Adaptive Orientation Attention Network for Scene Text Recognition,
IP(30), 2021, pp. 1687-1701.
IEEE DOI 2101
Text recognition, Semantics, Character recognition, Image recognition, Visualization, sequence-to-sequence learning BibRef

Zhang, Y.P.[Ya-Ping], Nie, S.[Shuai], Liang, S., Liu, W.J.[Wen-Ju],
Robust Text Image Recognition via Adversarial Sequence-to-Sequence Domain Adaptation,
IP(30), 2021, pp. 3922-3933.
IEEE DOI 2104
Text recognition, Image recognition, Adaptation models, Task analysis, Character recognition, Training, Visualization, text image recognition BibRef

Zhang, Y.P.[Ya-Ping], Nie, S.[Shuai], Liu, W.J.[Wen-Ju], Xu, X.[Xing], Zhang, D.X.[Dong-Xiang], Shen, H.T.[Heng Tao],
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition,
CVPR19(2735-2744).
IEEE DOI 2002
BibRef

Luo, C.J.[Can-Jie], Lin, Q.X.[Qing-Xiang], Liu, Y.L.[Yu-Liang], Jin, L.W.[Lian-Wen], Shen, C.H.[Chun-Hua],
Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild,
IJCV(129), No. 4, April 2021, pp. 960-976.
Springer DOI 2104
BibRef

Wang, W.H.[Wen-Hai], Xie, E.[Enze], Song, X.G.[Xiao-Ge], Zang, Y.H.[Yu-Hang], Wang, W.J.[Wen-Jia], Lu, T.[Tong], Yu, G.[Gang], Shen, C.H.[Chun-Hua],
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network,
ICCV19(8439-8448)
IEEE DOI 2004
feature extraction, image fusion, image recognition, image segmentation, text analysis, text detection, Bones BibRef

Wang, W.H.[Wen-Hai], Xie, E.[Enze], Li, X.[Xiang], Hou, W.B.[Wen-Bo], Lu, T.[Tong], Yu, G.[Gang], Shao, S.[Shuai],
Shape Robust Text Detection With Progressive Scale Expansion Network,
CVPR19(9328-9337).
IEEE DOI 2002
BibRef

Li, Y.[Yao], Jia, W.J.[Wen-Jing], Shen, C.H.[Chun-Hua], van den Hengel, A.J.[Anton J.],
Characterness: An Indicator of Text in the Wild,
IP(23), No. 4, April 2014, pp. 1666-1677.
IEEE DOI 1404
BibRef
Earlier: A1, A3, A2, A4:
Leveraging surrounding context for scene text detection,
ICIP13(2264-2268)
IEEE DOI 1402
Surrounding context; energy minimization; scene text detection Bayes methods. BibRef

Lu, N.[Ning], Yu, W.W.[Wen-Wen], Qi, X.B.[Xian-Biao], Chen, Y.H.[Yi-Hao], Gong, P.[Ping], Xiao, R.[Rong], Bai, X.[Xiang],
MASTER: Multi-aspect non-local network for scene text recognition,
PR(117), 2021, pp. 107980.
Elsevier DOI 2106
Scene text recognition, Transformer, Non-local network, Memory-cached mechanism BibRef

Thirumoorthy, K., Muneeswaran, K.,
Feature selection using hybrid poor and rich optimization algorithm for text classification,
PRL(147), 2021, pp. 63-70.
Elsevier DOI 2106
Poor and rich optimization, Feature selection, Dimension reduction, Text classification BibRef

Zhang, C.S.[Chong-Sheng], Ding, W.P.[Wei-Ping], Peng, G.W.[Guo-Wen], Fu, F.F.[Fei-Fei], Wang, W.[Wei],
Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems,
ITS(22), No. 7, July 2021, pp. 4727-4743.
IEEE DOI 2107
Text recognition, Autonomous vehicles, Machine learning, Optical character recognition software, Roads, Cameras, digital mapping BibRef

Dey, A.U.[Arka Ujjal], Ghosh, S.K.[Suman K.], Valveny, E.[Ernest], Harit, G.[Gaurav],
Beyond visual semantics: Exploring the role of scene text in image understanding,
PRL(149), 2021, pp. 164-171.
Elsevier DOI 2108
Scene text, Visual semantics, Graph attention, Text and vision BibRef

Raisi, Z.[Zobeir], Naiel, M.A.[Mohamed A.], Younes, G.[Georges], Wardell, S.[Steven], Zelek, J.[John],
2LSPE: 2D Learnable Sinusoidal Positional Encoding using Transformer for Scene Text Recognition,
CRV21(119-126)
IEEE DOI 2108
Recurrent neural networks, Text recognition, Shape, Two dimensional displays, Layout, Training data, Encoding, Scene Text Recognition BibRef

Gómez, L.[Lluís], Biten, A.F.[Ali Furkan], Tito, R.[Rubén], Mafla, A.[Andrés], Rusiñol, M.[Marçal], Valveny, E.[Ernest], Karatzas, D.[Dimosthenis],
Multimodal grid features and cell pointers for scene text visual question answering,
PRL(150), 2021, pp. 242-249.
Elsevier DOI 2109
Deep learning, Scene text, Visual question answering, Multi-modal learning, MSC, 41A05, 41A10, 65D05, 65D17 BibRef

Biten, A.F.[Ali Furkan], Tito, R.[Rubén], Mafla, A.[Andrés], Gomez, L., Rusiñol, M.[Marçal], Jawahar, C.V., Valveny, E.[Ernest], Karatzas, D.[Dimosthenis],
Scene Text Visual Question Answering,
ICCV19(4290-4300)
IEEE DOI 2004
question answering (information retrieval), text analysis, text detection, Semantics BibRef

Chmielewski, S.[Szymon],
Towards Managing Visual Pollution: A 3D Isovist and Voxel Approach to Advertisement Billboard Visual Impact Assessment,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Rong, X.J.[Xue-Jian], Yi, C.C.[Chu-Cai], Tian, Y.L.[Ying-Li],
Unambiguous Text Localization, Retrieval, and Recognition for Cluttered Scenes,
PAMI(44), No. 3, March 2022, pp. 1638-1652.
IEEE DOI 2202
BibRef
Earlier:
Unambiguous Text Localization and Retrieval for Cluttered Scenes,
CVPR17(3279-3287)
IEEE DOI 1711
BibRef
Earlier:
Recognizing Text-Based Traffic Guide Panels with Cascaded Localization Network,
CVRoads16(I: 109-121).
Springer DOI 1611
Text recognition, Natural languages, Task analysis, Context modeling, Data mining, Visualization, referring expression. Context modeling, Convolutional codes, Data mining, Decoding, Natural languages, Text recognition BibRef

Li, B.C.[Bing-Cong], Tang, X.[Xin], Qi, X.B.[Xian-Biao], Chen, Y.H.[Yi-Hao], Li, C.G.[Chun-Guang], Xiao, R.[Rong],
EMU: Effective Multi-Hot Encoding Net for Lightweight Scene Text Recognition With a Large Character Set,
CirSysVideo(32), No. 8, August 2022, pp. 5374-5385.
IEEE DOI 2208
Text recognition, Feature extraction, Transformers, Decoding, Encoding, Codes, Mobile handsets, Multi-hot encoding, scene text recognition BibRef

Wang, Y.X.[Yu-Xin], Xie, H.T.[Hong-Tao], Fang, S.C.[Shan-Cheng], Xing, M.T.[Meng-Ting], Wang, J.[Jing], Zhu, S.G.[Sheng-Gao], Zhang, Y.D.[Yong-Dong],
PETR: Rethinking the Capability of Transformer-Based Language Model in Scene Text Recognition,
IP(31), 2022, pp. 5585-5598.
IEEE DOI 2209
Visualization, Linguistics, Predictive models, Transformers, Text recognition, Feature extraction, Time-varying systems, deep neural networks BibRef

Liu, C.[Chang], Yang, C.[Chun], Qin, H.B.[Hai-Bo], Zhu, X.B.[Xia-Bin], Liu, C.L.[Cheng-Lin], Yin, X.C.[Xu-Cheng],
Towards open-set text recognition via label-to-prototype learning,
PR(134), 2023, pp. 109109.
Elsevier DOI 2212
BibRef
Earlier: A1, A2, A6, Only:
Open-Set Text Recognition via Character-Context Decoupling,
CVPR22(4513-4522)
IEEE DOI 2210
Open-set recognition, Scene text recognition, Low-shot recognition. Visualization, Text analysis, Text recognition, Linguistics, Task analysis, Context modeling, Transfer/low-shot/long-tail learning BibRef

Tan, Y.L.[Yew Lee], Chew, E.Y.K.[Ernest Yu Kai], Kong, A.W.K.[Adams Wai-Kin], Kim, J.J.[Jung-Jae], Lim, J.H.[Joo Hwee],
Portmanteauing Features for Scene Text Recognition,
ICPR22(1499-1505)
IEEE DOI 2212
Image recognition, Text recognition, Shape, Nonlinear distortion, Pipelines, Benchmark testing, Parallel processing BibRef

Li, M.[Ming], Fu, B.[Bin], Zhang, Z.[Zhengfu], Qiao, Y.[Yu],
Character-Aware Sampling and Rectification for Scene Text Recognition,
MultMed(25), 2023, pp. 649-661.
IEEE DOI 2302
Text recognition, Character recognition, Task analysis, Pipelines, Feature extraction, Data mining, Visualization, deep learning BibRef

Fang, S.C.[Shan-Cheng], Mao, Z.D.[Zhen-Dong], Xie, H.T.[Hong-Tao], Wang, Y.X.[Yu-Xin], Yan, C.G.[Cheng-Gang], Zhang, Y.D.[Yong-Dong],
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting,
PAMI(45), No. 6, June 2023, pp. 7123-7141.
IEEE DOI 2305
BibRef
Earlier: A1, A3, A4, A2, A6, Only:
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition,
CVPR21(7094-7103)
IEEE DOI 2111
Text recognition, Iterative methods, Linguistics, Transformers, Character recognition, Visualization, Predictive models, language modeling. Codes, Benchmark testing, Semisupervised learning BibRef

Yang, J.Y.[Je-Yun], Kwon, Y.[Youngsang],
Novel CNN-Based Approach for Reading Urban Form Data in 2D Images: An Application for Predicting Restaurant Location in Seoul, Korea,
IJGI(12), No. 9, 2023, pp. 373.
DOI Link 2310
BibRef

Li, M.[Ming], Fu, B.[Bin], Chen, H.[Han], He, J.J.[Jun-Jun], Qiao, Y.[Yu],
Dual Relation Network for Scene Text Recognition,
MultMed(25), 2023, pp. 4094-4107.
IEEE DOI 2310
BibRef

Liu, X.Q.[Xiao-Qian], Ding, X.Y.[Xue-Ying], Luo, X.[Xin], Xu, X.S.[Xin-Shun],
Unsupervised Domain Adaptation via Class Aggregation for Text Recognition,
CirSysVideo(33), No. 10, October 2023, pp. 5617-5630.
IEEE DOI 2310
BibRef

Liang, M.[Min], Zhu, X.B.[Xia-Bin], Zhou, H.Y.[Hong-Yang], Qin, J.Y.[Jing-Yan], Yin, X.C.[Xu-Cheng],
HFENet: Hybrid Feature Enhancement Network for Detecting Texts in Scenes and Traffic Panels,
ITS(24), No. 12, December 2023, pp. 14200-14212.
IEEE DOI 2312
BibRef

Ding, X.Y.[Xue-Ying], Liu, X.Q.[Xiao-Qian], Luo, X.[Xin], Xu, X.S.[Xin-Shun],
DOC: Text Recognition via Dual Adaptation and Clustering,
MultMed(25), 2023, pp. 9071-9081.
IEEE DOI 2312
BibRef

Li, B.Y.[Bo-Ying], Zou, D.P.[Dan-Ping], Huang, Y.[Yuan], Niu, X.H.[Xing-Han], Pei, L.[Ling], Yu, W.X.[Wen-Xian],
TextSLAM: Visual SLAM With Semantic Planar Text Features,
PAMI(46), No. 1, January 2024, pp. 593-610.
IEEE DOI 2312
Text helps SLAM. BibRef

Yang, M.K.[Ming-Kun], Yang, B.[Biao], Liao, M.H.[Ming-Hui], Zhu, Y.Y.[Ying-Ying], Bai, X.[Xiang],
Sequential visual and semantic consistency for semi-supervised text recognition,
PRL(178), 2024, pp. 174-180.
Elsevier DOI 2402
Semi-supervised learning, Scene text recognition, Dynamic programming, Reinforcement learning BibRef

Tian, S.[Shu], Zhu, K.X.[Kang-Xi], Qin, H.B.[Hai-Bo], Yang, C.[Chun],
Dynamic receptive field adaptation for scene text recognition,
PRL(178), 2024, pp. 55-61.
Elsevier DOI 2402
Attention mechanism, Dynamic, Receptive field, Text recognition, Transformer BibRef

Yao, M.H.[Ming-Hong], Liu, Z.G.[Zhi-Guang], Zhuang, L.S.[Lian-Sheng], Wang, L.[Liangwei], Li, H.Q.[Hou-Qiang],
A Robust Framework for One-Shot Key Information Extraction via Deep Partial Graph Matching,
IP(33), 2024, pp. 1070-1079.
IEEE DOI 2402
Labeling, Task analysis, Layout, Information retrieval, Data mining, Text recognition, Text detection, Document understanding, graph matching BibRef

Zheng, T.L.[Tian-Lun], Chen, Z.N.[Zhi-Neng], Fang, S.C.[Shan-Cheng], Xie, H.T.[Hong-Tao], Jiang, Y.G.[Yu-Gang],
CDistNet: Perceiving Multi-domain Character Distance for Robust Text Recognition,
IJCV(132), No. 2, February 2024, pp. 300-318.
Springer DOI 2402
Code:
WWW Link. Scene text. BibRef

Banerjee, A.[Ayan], Shivakumara, P.[Palaiahnakote], Bhattacharya, S.[Saumik], Pal, U.[Umapada], Liu, C.L.[Cheng-Lin],
An end-to-end model for multi-view scene text recognition,
PR(149), 2024, pp. 110206.
Elsevier DOI 2403
Text detection, , Scene text recognition, Siamese network, Natural language model, Genetic algorithm, Multi-view text detection BibRef

Li, J.N.[Jia-Nan], Liu, X.Q.[Xiao-Qian], Luo, X.[Xin], Xu, X.S.[Xin-Shun],
VOLTER: Visual Collaboration and Dual-Stream Fusion for Scene Text Recognition,
MultMed(26), 2024, pp. 6437-6448.
IEEE DOI 2404
Visualization, Feature extraction, Collaboration, Transformers, Predictive models, Text recognition, Iterative methods, multi-modal fusion BibRef

Yang, X.M.[Xiao-Meng], Qiao, Z.[Zhi], Wei, J.[Jin], Yang, D.[Dongbao], Zhou, Y.[Yu],
Masked and Permuted Implicit Context Learning for Scene Text Recognition,
SPLetters(31), 2024, pp. 964-968.
IEEE DOI 2404
Decoding, Training, Context modeling, Predictive models, Iterative decoding, Visualization, Benchmark testing, scene text recognition BibRef

Xiong, L.[Li], Mao, Y.[Yingchi], Wang, Z.C.[Zi-Cheng], Nie, B.B.[Bing-Bing], Li, C.[Chang],
Cross-modal knowledge learning with scene text for fine-grained image classification,
IET-IPR(18), No. 6, 2024, pp. 1447-1459.
DOI Link 2405
feature extraction, image classification BibRef

Nguyen, C.M.[Cindy M.], Chan, E.R.[Eric R.], Bergman, A.W.[Alexander W.], Wetzstein, G.[Gordon],
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition,
WACV24(4134-4145)
IEEE DOI Code:
WWW Link. 2404
Costs, Text recognition, Inverse problems, Computational modeling, Reconstruction algorithms, Noise measurement, Algorithms BibRef

Deshmukh, G.[Gayatri], Susladkar, O.[Onkar], Makwana, D.[Dhruv], Mittal, S.[Sparsh], Teja, R.S.C.[R. Sai Chandra],
Textual Alchemy: CoFormer for Scene Text Understanding,
WACV24(2919-2929)
IEEE DOI Code:
WWW Link. 2404
Convolution, Text recognition, Frequency-domain analysis, Superresolution, Transformers, Applications, and algorithms BibRef

Santoso, J.[Joshua], Simon, C.[Christian], Williem,
On Manipulating Scene Text in the Wild with Diffusion Models,
WACV24(5190-5199)
IEEE DOI 2404
Adaptation models, Text recognition, Image color analysis, Optical character recognition, Performance gain, Vision + language and/or other modalities BibRef

Kim, D.[Daehee], Kim, Y.[Yoonsik], Kim, D.[DongHyun], Lim, Y.M.[Yu-Min], Kim, G.[Geewook], Kil, T.[Taeho],
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap,
ICCV23(19505-19516)
IEEE DOI Code:
WWW Link. 2401
BibRef

Guan, T.[Tongkun], Shen, W.[Wei], Yang, X.[Xue], Feng, Q.[Qi], Jiang, Z.K.[Ze-Kun], Yang, X.K.[Xiao-Kang],
Self-supervised Character-to-Character Distillation for Text Recognition,
ICCV23(19416-19427)
IEEE DOI Code:
WWW Link. 2401
BibRef

Jiang, Q.[Qing], Wang, J.P.[Jia-Peng], Peng, D.[Dezhi], Liu, C.Y.[Chong-Yu], Jin, L.W.[Lian-Wen],
Revisiting Scene Text Recognition: A Data Perspective,
ICCV23(20486-20497)
IEEE DOI Code:
WWW Link. 2401
BibRef

Cheng, C.X.[Chang-Xu], Wang, P.[Peng], Da, C.[Cheng], Zheng, Q.[Qi], Yao, C.[Cong],
LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition,
ICCV23(19484-19494)
IEEE DOI 2401
BibRef

Aberdam, A.[Aviad], Bensaïd, D.[David], Golts, A.[Alona], Ganz, R.[Roy], Nuriel, O.[Oren], Tichauer, R.[Royee], Mazor, S.[Shai], Litman, R.[Ron],
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition,
ICCV23(21649-21660)
IEEE DOI 2401
BibRef

Zheng, T.L.[Tian-Lun], Chen, Z.[Zhineng], Huang, B.C.[Bing-Chen], Zhang, W.[Wei], Jiang, Y.G.[Yu-Gang],
MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition,
ICCV23(18598-18607)
IEEE DOI Code:
WWW Link. 2401
BibRef

Fujitake, M.[Masato],
DiffusionSTR: Diffusion Model for Scene Text Recognition,
ICIP23(1585-1589)
IEEE DOI 2312
BibRef

Orihashi, S.[Shota], Yamazaki, Y.[Yoshihiro], Uchida, M.[Mihiro], Takashima, A.[Akihiko], Masumura, R.[Ryo],
Distilling Knowledge of Bidirectional Language Model for Scene Text Recognition,
ICIP23(2165-2169)
IEEE DOI 2312
BibRef

Tien, H.T.[Hung Tran], Ngo, T.D.[Thanh Duc],
Unsupervised Domain Adaptation with Imbalanced Character Distribution for Scene Text Recognition,
ICIP23(3493-3497)
IEEE DOI 2312
BibRef

Ty, M.V.[Mark Vincent], Atienza, R.[Rowel],
Scene Text Recognition Models Explainability Using Local Features,
ICIP23(645-649)
IEEE DOI 2312
BibRef

Slossberg, R.[Ron], Anschel, O.[Oron], Markovitz, A.[Amir], Litman, R.[Ron], Aberdam, A.[Aviad], Tsiper, S.[Shahar], Mazor, S.[Shai], Wu, J.[Jon], Manmatha, R.,
On Calibration of Scene-text Recognition Models,
TextEvery22(263-279).
Springer DOI 2304
BibRef

Gao, M.[Ming], Wu, S.[Shilian], Wang, Z.F.[Zeng-Fu],
A Length-sensitive Language-bound Recognition Network for Multilingual Text Recognition,
MMMod23(II: 139-150).
Springer DOI 2304
BibRef

Patel, G.[Gaurav], Allebach, J.[Jan], Qiu, Q.[Qiang],
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition,
WACV23(6169-6179)
IEEE DOI 2302
Uncertainty, Text recognition, Semisupervised learning, Predictive models, Benchmark testing, and un-supervised learning BibRef

Chu, X.J.[Xiao-Jie], Wang, Y.T.[Yong-Tao],
IterVM: Iterative Vision Modeling Module for Scene Text Recognition,
ICPR22(1393-1399)
IEEE DOI 2212
Visualization, Image recognition, Codes, Text recognition, Fuses, Semantics, Benchmark testing BibRef

Fu, J.M.[Jin-Miao], Xu, S.Y.[Shao-Yuan], Liu, H.D.[Hui-Dong], Liu, Y.[Yang], Xie, N.[Ning], Wang, C.C.[Chien-Chih], Liu, J.[Jia], Sun, Y.[Yi], Wang, B.[Bryan],
CMA-CLIP: Cross-Modality Attention Clip for Text-Image Classification,
ICIP22(2846-2850)
IEEE DOI 2211
Bridges, Correlation, Fuses, Multitasking, Robustness, Electronic commerce, Multimodal, attention, NLP, computer vision BibRef

Na, B.[Byeonghu], Kim, Y.[Yoonsik], Park, S.[Sungrae],
Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features,
ECCV22(XXVIII:446-463).
Springer DOI 2211
BibRef

Nuriel, O.[Oren], Fogel, S.[Sharon], Litman, R.[Ron],
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers,
ECCV22(XXVIII:427-445).
Springer DOI 2211
BibRef

Tang, J.Q.[Jing-Qun], Qian, W.M.[Wen-Ming], Song, L.[Luchuan], Dong, X.[Xiena], Li, L.[Lan], Bai, X.[Xiang],
Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning,
ECCV22(XXVIII:233-248).
Springer DOI 2211
BibRef

Bautista, D.[Darwin], Atienza, R.[Rowel],
Scene Text Recognition with Permuted Autoregressive Sequence Models,
ECCV22(XXVIII:178-196).
Springer DOI 2211
BibRef

Zhao, L.[Liang], Wu, Z.Y.[Zhen-Yao], Wu, X.[Xinyi], Wilsbacher, G.[Greg], Wang, S.[Song],
Background-Insensitive Scene Text Recognition with Text Semantic Segmentation,
ECCV22(XXV:163-182).
Springer DOI 2211
BibRef

Chang, Y.C.[Yen-Cheng], Chen, Y.C.[Yi-Chang], Chang, Y.C.[Yu-Chuan], Yeh, Y.R.[Yi-Ren],
Smile: Sequence-to-Sequence Domain Adaptation with Minimizing Latent Entropy for Text Image Recognition,
ICIP22(431-435)
IEEE DOI 2211
Training, Adaptation models, Image recognition, Text recognition, Minimization, Entropy, Stability analysis, domain adaptation, self-paced learning BibRef

Tan, Y.L.[Yew Lee], Kong, A.W.K.[Adams Wai-Kin], Kim, J.J.[Jung-Jae],
Pure Transformer with Integrated Experts for Scene Text Recognition,
ECCV22(XXVIII:481-497).
Springer DOI 2211
BibRef

Zhong, D.[Dajian], Lyu, S.[Shujing], Shivakumara, P.[Palaiahnakote], Yin, B.[Bing], Wu, J.J.[Jia-Jia], Pal, U.[Umapada], Lu, Y.[Yue],
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition,
ECCV22(XXVIII:464-480).
Springer DOI 2211
BibRef

Wang, P.[Peng], Da, C.[Cheng], Yao, C.[Cong],
Multi-granularity Prediction for Scene Text Recognition,
ECCV22(XXVIII:339-355).
Springer DOI 2211
BibRef

Xie, X.D.[Xu-Dong], Fu, L.[Ling], Zhang, Z.F.[Zhi-Fei], Wang, Z.W.[Zhao-Wen], Bai, X.[Xiang],
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition,
ECCV22(XXVIII:303-321).
Springer DOI 2211
BibRef

Xue, C.H.[Chu-Hui], Zhang, W.Q.[Wen-Qing], Hao, Y.[Yu], Lu, S.J.[Shi-Jian], Torr, P.H.S.[Philip H. S.], Bai, S.[Song],
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting,
ECCV22(XXVIII:284-302).
Springer DOI 2211
BibRef

Orihashi, S.[Shota], Yamazaki, Y.[Yoshihiro], Uchida, M.[Mihiro], Takashima, A.[Akihiko], Masumura, R.[Ryo],
Fully Shareable Scene Text Recognition Modeling for Horizontal and Vertical Writing,
ICIP22(2636-2640)
IEEE DOI 2211
Training, Image recognition, Text recognition, Asia, Writing, Predictive models, Transformers, Scene text recognition, Transformer BibRef

Zheng, C.[Caiyuan], Li, H.[Hui], Rhee, S.M.[Seon-Min], Han, S.[Seungju], Han, J.J.[Jae-Joon], Wang, P.[Peng],
Pushing the Performance Limit of Scene Text Recognizer without Human Annotation,
CVPR22(14096-14105)
IEEE DOI 2210
Training, Adaptation models, Costs, Text recognition, Annotations, Benchmark testing, retrieval, Recognition: detection BibRef

Wang, H.[Hao], Liao, J.C.[Jun-Chao], Cheng, T.H.[Tian-Heng], Gao, Z.[Zewen], Liu, H.[Hao], Ren, B.[Bo], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu],
Knowledge Mining with Scene Text for Fine-Grained Recognition,
CVPR22(4614-4623)
IEEE DOI 2210
Knowledge engineering, Visualization, Image recognition, Text recognition, Semantics, Benchmark testing, Visual reasoning BibRef

Long, S.B.[Shang-Bang], Qin, S.Y.[Si-Yang], Panteleev, D.[Dmitry], Bissacco, A.[Alessandro], Fujii, Y.[Yasuhisa], Raptis, M.[Michalis],
Towards End-to-End Unified Scene Text Detection and Layout Analysis,
CVPR22(1039-1049)
IEEE DOI 2210
Analytical models, Text analysis, Codes, Annotations, Computational modeling, Layout, Recognition: detection, Vision applications and systems BibRef

Gómez, À.S.[Àlex Solé], Castaño, J.G.[Jorge García], Leškovský, P.[Peter], Madurga, O.O.[Oihana Otaegui],
PolygloNet: Multilingual Approach for Scene Text Recognition Without Language Constraints,
CIAP22(II:479-490).
Springer DOI 2205
BibRef

Shuai, X.[Xiang], Wang, X.[Xiao], Wang, W.[Wei], Yuan, X.[Xin], Xu, X.[Xin],
SAM: Self Attention Mechanism for Scene Text Recognition Based on Swin Transformer,
MMMod22(I:443-454).
Springer DOI 2203
BibRef

Bhunia, A.K.[Ayan Kumar], Sain, A.[Aneeshan], Kumar, A.[Amandeep], Ghose, S.[Shuvozit], Chowdhury, P.N.[Pinaki Nath], Song, Y.Z.[Yi-Zhe],
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition,
ICCV21(14920-14929)
IEEE DOI 2203
Training, Visualization, Text recognition, Semantics, Refining, Lighting, Distortion, Scene text and document understanding, Recognition and classification BibRef

Bhunia, A.K.[Ayan Kumar], Chowdhury, P.N.[Pinaki Nath], Sain, A.[Aneeshan], Song, Y.Z.[Yi-Zhe],
Towards the Unseen: Iterative Text Recognition by Distilling from Errors,
ICCV21(14930-14939)
IEEE DOI 2203
Knowledge engineering, Visualization, Text recognition, Computational modeling, Iterative methods, Character recognition, BibRef

Wang, Y.X.[Yu-Xin], Xie, H.T.[Hong-Tao], Fang, S.C.[Shan-Cheng], Wang, J.[Jing], Zhu, S.G.[Sheng-Gao], Zhang, Y.D.[Yong-Dong],
From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network,
ICCV21(14174-14183)
IEEE DOI 2203
Training, Visualization, Adaptation models, Text recognition, Computer architecture, Linguistics, Vision applications and systems BibRef

Bhunia, A.K.[Ayan Kumar], Sain, A.[Aneeshan], Chowdhury, P.N.[Pinaki Nath], Song, Y.Z.[Yi-Zhe],
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation,
ICCV21(963-972)
IEEE DOI 2203
Adaptation models, Text recognition, Computational modeling, Multitasking, Scene text and document understanding, BibRef

Gupta, K.[Kamal], Lazarow, J.[Justin], Achille, A.[Alessandro], Davis, L.[Larry], Mahadevan, V.[Vijay], Shrivastava, A.[Abhinav],
LayoutTransformer: Layout Generation and Completion with Self-attention,
ICCV21(984-994)
IEEE DOI 2203
Training, Analytical models, Codes, Shape, Layout, Scene text and document understanding, Vision applications and systems BibRef

Bhunia, A.K.[Ankan Kumar], Khan, S.[Salman], Cholakkal, H.[Hisham], Anwer, R.M.[Rao Muhammad], Khan, F.S.[Fahad Shahbaz], Shah, M.[Mubarak],
Handwriting Transformers,
ICCV21(1066-1074)
IEEE DOI 2203
Training, Knowledge engineering, Codes, Image synthesis, Writing, Transformers, Scene text and document understanding, Vision applications and systems BibRef

Zheng, Y.[Yi], Wang, Q.T.[Qi-Tong], Betke, M.[Margrit],
Semantic-Based Sentence Recognition in Images Using Bimodal Deep Learning,
ICIP21(2753-2757)
IEEE DOI 2201
Deep learning, Image recognition, Text recognition, Computational modeling, Semantics, Predictive models, new labeled datasets BibRef

Huang, Y.L.[Yi-Li], Wang, S.L.[Shi-Lin], Gu, C.Y.[Cheng-Yu], Huang, Z.[Zheng], Chen, K.[Kai],
A Seq2seq-based Model with Global Semantic Context for Scene Text Recognition,
DICTA21(01-06)
IEEE DOI 2201
Training, Deep learning, Image recognition, Text recognition, Computational modeling, Digital images, Semantics, Fusion BibRef

Kim, Y.G.[Yeon-Gyu], Kim, H.[Hyunsu], Kang, M.[Minseok], Lee, H.J.[Hyug-Jae], Lee, R.[Rokkyu], Park, G.[Gunhan],
Analysis of the Novel Transformer Module Combination for Scene Text Recognition,
ICIP21(1229-1233)
IEEE DOI 2201
Deep learning, Visualization, Text analysis, Image recognition, Text recognition, Shape, Convolution, Scene Text Recognition (STR), Self-attention BibRef

Atienza, R.[Rowel],
Data Augmentation for Scene Text Recognition,
ILDAV21(1561-1570)
IEEE DOI 2112
Training, Text recognition, Computational modeling, Signal processing, Data models, Sensors BibRef

Aberdam, A.[Aviad], Litman, R.[Ron], Tsiper, S.[Shahar], Anschel, O.[Oron], Slossberg, R.[Ron], Mazor, S.[Shai], Manmatha, R., Perona, P.[Pietro],
Sequence-to-Sequence Contrastive Learning for Text Recognition,
CVPR21(15297-15307)
IEEE DOI 2111
Training, Visualization, Head, Text recognition, Computer architecture, Benchmark testing BibRef

Nguyen, N.[Nguyen], Nguyen, T.[Thu], Tran, V.[Vinh], Tran, M.T.[Minh-Triet], Ngo, T.D.[Thanh Duc], Nguyen, T.H.[Thien Huu], Hoai, M.[Minh],
Dictionary-guided Scene Text Recognition,
CVPR21(7379-7388)
IEEE DOI 2111
Training, Visualization, Casting, Dictionaries, Codes, Text recognition BibRef

Baek, J.[Jeonghun], Matsui, Y.[Yusuke], Aizawa, K.[Kiyoharu],
What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels,
CVPR21(3112-3121)
IEEE DOI 2111
Training, Codes, Text recognition, Data models, Task analysis BibRef

Yan, R.[Ruijie], Peng, L.R.[Liang-Rui], Xiao, S.[Shanyu], Yao, G.[Gang],
Primitive Representation Learning for Scene Text Recognition,
CVPR21(284-293)
IEEE DOI 2111
Visualization, Text recognition, Decoding, Task analysis BibRef

Charles, J.[James], Bucciarelli, S.[Stefano], Cipolla, R.[Roberto],
Scaling digital screen reading with one-shot learning and re-identification,
WACV21(2634-2642)
IEEE DOI 2106
To read numbers from meters for online data entry. Meters, Training, Image edge detection, Manuals, Data transfer, Mobile handsets, Real-time systems BibRef

Xu, Z.L.[Zhen-Long], Zhou, S.G.[Shui-Geng], Bai, F.[Fan], Cheng, Z.Z.[Zhan-Zhan], Niu, Y.[Yi], Pu, S.L.[Shi-Liang],
Recognizing Multiple Text Sequences from an Image by Pure End-to-End Learning,
ICPR21(7058-7065)
IEEE DOI 2105
Training, Performance evaluation, Learning systems, Image recognition, Text recognition, Annotations, Probability distribution BibRef

Bulatov, K.[Konstantin], Fedotova, N.[Nadezhda], Arlazarov, V.V.[Vladimir V.],
Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video,
ICPR21(239-246)
IEEE DOI 2105
Text recognition, Computational modeling, Decision making, Streaming media, Real-time systems, Time factors BibRef

Song, Q.[Qi], Jiang, Q.[Qianyi], Li, N.[Nan], Zhang, R.[Rui], Wei, X.L.[Xiao-Lin],
ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition,
ICPR21(1649-1656)
IEEE DOI 2105
Image recognition, Text recognition, Semantics, Merging, Training data, Rectifiers, Benchmark testing BibRef

Janouskova, K.[Klara], Matas, J.G.[Jiri G.], Gomez, L.[Lluis], Karatzas, D.[Dimosthenis],
Text Recognition - Real World Data and Where to Find Them,
ICPR21(4489-4496)
IEEE DOI 2105
Training, Image recognition, Text recognition, Annotations, Pipelines, Benchmark testing, Proposals BibRef

Chen, Z.[Zhuo], Yin, F.[Fei], Yang, Q.[Qing], Liu, C.L.[Cheng-Lin],
Cross-Lingual Text Image Recognition via Multi-Hierarchy Cross-Modal Mimic,
MultMed(25), 2023, pp. 4830-4841.
IEEE DOI 2311
BibRef

Chen, Z.[Zhuo], Yin, F.[Fei], Zhang, X.Y.[Xu-Yao], Yang, Q.[Qing], Liu, C.L.[Chena-Lin],
Cross-Lingual Text Image Recognition via Multi-Task Sequence to Sequence Learning,
ICPR21(3122-3129)
IEEE DOI 2105
Training, Learning systems, Image recognition, Text recognition, Target recognition, Convolution, Semantics BibRef

Song, Q.[Qi], Jiang, Q.Y.[Qian-Yi], Zhang, R.[Rui], Wei, X.L.[Xiao-Lin],
Robust Lexicon-Free Confidence Prediction for Text Recognition,
ICPR21(3232-3239)
IEEE DOI 2105
Integrated optics, Deep learning, Text recognition, Perturbation methods, Transforms, Probability, Optical imaging BibRef

Liu, T.F.[Teng-Fei], Hu, Y.L.[Yong-Li], Gao, J.B.[Jun-Bin], Sun, Y.F.[Yan-Feng], Yin, B.C.[Bao-Cai],
Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network,
ICPR21(8352-8359)
IEEE DOI 2105
Training, Knowledge engineering, Convolution, Text categorization, Semantics, Natural languages, Feature extraction BibRef

Lin, J.H.[Jing-Huang], Cheng, Z.Z.[Zhan-Zhan], Bai, F.[Fan], Niu, Y.[Yi], Pu, S.L.[Shi-Liang], Zhou, S.G.[Shui-Geng],
Text Recognition in Real Scenarios with a Few Labeled Samples,
ICPR21(370-377)
IEEE DOI 2105
Image recognition, Text recognition, Target recognition, Computational modeling BibRef

Li, L.C.[Liang-Cheng], Gao, F.Y.[Fei-Yu], Bu, J.J.[Jia-Jun], Wang, Y.P.[Yong-Pan], Yu, Z.[Zhi], Zheng, Q.[Qi],
An End-to-end OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension,
ECCV20(XXV:85-100).
Springer DOI 2011
BibRef

Mou, Y.Q.[Yong-Qiang], Tan, L.[Lei], Yang, H.[Hui], Chen, J.Y.[Jing-Ying], Liu, L.Y.[Le-Yuan], Yan, R.[Rui], Huang, Y.H.[Yao-Hong],
Plugnet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-resolution Unit,
ECCV20(XV:158-174).
Springer DOI 2011
BibRef

Chang, M.C., Zhao, G., Pandey, A.K., Pulver, A., Tu, P.,
Railcar Detection, Identification and Tracking for Rail Yard Management,
ICIP20(2271-2275)
IEEE DOI 2011
Text recognition, Automobiles, Rails, Pipelines, Visualization, Databases, Image edge detection, railcar, detection, tracking, edge computing. BibRef

Yue, X.Y.[Xiao-Yu], Kuang, Z.H.[Zhang-Hui], Lin, C.H.[Chen-Hao], Sun, H.B.[Hong-Bin], Zhang, W.[Wayne],
Robustscanner: Dynamically Enhancing Positional Clues for Robust Text Recognition,
ECCV20(XIX:135-151).
Springer DOI 2011
BibRef

Yang, Q., Huang, J., Lin, W.,
SwapText: Image Based Texts Transfer in Scenes,
CVPR20(14688-14697)
IEEE DOI 2008
Image generation, Shape, Task analysis, Text recognition, Feature extraction, Transforms BibRef

Wang, Q., Zheng, Y., Betke, M.,
A method for detecting text of arbitrary shapes in natural scenes that improves text spotting,
WTDDL20(2296-2305)
IEEE DOI 2008
Heating systems, Skeleton, Feature extraction, Shape, Text recognition, Training BibRef

Lee, J., Park, S., Baek, J., Oh, S.J., Kim, S., Lee, H.,
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention,
WTDDL20(2326-2335)
IEEE DOI 2008
Text recognition, Shape, Decoding, Feature extraction, Benchmark testing, Task analysis BibRef

Xu, X., Chen, J., Xiao, J., Gao, L., Shen, F., Shen, H.T.,
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images,
CVPR20(12301-12311)
IEEE DOI 2008
Task analysis, Text recognition, Perturbation methods, Training, Neural networks, Optical character recognition software, Image recognition BibRef

Yu, D., Li, X., Zhang, C., Liu, T., Han, J., Liu, J., Ding, E.,
Towards Accurate Scene Text Recognition With Semantic Reasoning Networks,
CVPR20(12110-12119)
IEEE DOI 2008
Semantics, Visualization, Text recognition, Cognition, Feature extraction, Decoding, Robustness BibRef

Litman, R., Anschel, O., Tsiper, S., Litman, R., Mazor, S., Manmatha, R.,
SCATTER: Selective Context Attentional Scene Text Recognizer,
CVPR20(11959-11969)
IEEE DOI 2008
Text recognition, Decoding, Visualization, Computer architecture, Feature extraction, Task analysis, Training BibRef

Wang, Y., Xie, H., Zha, Z., Xing, M., Fu, Z., Zhang, Y.,
ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection,
CVPR20(11750-11759)
IEEE DOI 2008
Proposals, Machine learning, Shape, Adaptive systems, Kernel, Data visualization, Heating systems BibRef

Wan, Z., Zhang, J., Zhang, L., Luo, J., Yao, C.,
On Vocabulary Reliance in Scene Text Recognition,
CVPR20(11422-11431)
IEEE DOI 2008
Vocabulary, Text recognition, Decoding, Training, Training data, Visualization, Context modeling BibRef

Hong, S., Kim, D., Choi, M.,
Memory-Efficient Models for Scene Text Recognition via Neural Architecture Search,
WACVWS20(183-191)
IEEE DOI 2006
Computer architecture, Microprocessors, Training, Task analysis, Feature extraction, Computational modeling, Graphics processing units BibRef

Yang, M., Guan, Y., Liao, M., He, X., Bian, K., Bai, S., Yao, C., Bai, X.,
Symmetry-Constrained Rectification Network for Scene Text Recognition,
ICCV19(9146-9155)
IEEE DOI 2004
feature extraction, image recognition, natural scenes, text detection, scene text recognition, local attributes BibRef

Song, X.G.[Xiao-Ge], Wu, Y.R.[Yi-Rui], Wang, W.[Wenhai], Lu, T.[Tong],
Tk-text: Multi-shaped Scene Text Detection via Instance Segmentation,
MMMod20(II:201-213).
Springer DOI 2003
BibRef

Xing, L.J.[Lin-Jie], Tian, Z.[Zhi], Huang, W.L.[Wei-Lin], Scott, M.[Matthew],
Convolutional Character Networks,
ICCV19(9125-9135)
IEEE DOI 2004
Code, Convolutional Neural Networks.
WWW Link. convolutional neural nets, image recognition, iterative methods, recurrent neural nets, text detection, Neural networks BibRef

Mansoor, K., Olson, C.F.,
Recognizing Text with a CNN,
IVCNZ19(1-6)
IEEE DOI 2004
convolutional neural nets, feature extraction, image resolution, image segmentation, learning (artificial intelligence), convolutional neural network BibRef

Sun, Y., Liu, J., Liu, W., Han, J., Ding, E., Liu, J.,
Chinese Street View Text: Large-Scale Chinese Text Reading With Partially Supervised Learning,
ICCV19(9085-9094)
IEEE DOI 2004
image recognition, learning (artificial intelligence), natural language processing, text analysis, text detection, Task analysis BibRef

Baek, J., Kim, G., Lee, J., Park, S., Han, D., Yun, S., Oh, S.J., Lee, H.,
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis,
ICCV19(4714-4722)
IEEE DOI 2004
image recognition, text analysis, text detection, scene text recognition models, four-stage STR framework, Recurrent neural networks BibRef

Zhan, F.N.[Fang-Neng], Xue, C.H.[Chu-Hui], Lu, S.J.[Shi-Jian],
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition,
ICCV19(9104-9114)
IEEE DOI 2004
feature extraction, image classification, image representation, learning (artificial intelligence), object detection, Robustness BibRef

Hong, Z., Petillot, Y., Lane, D., Miao, Y., Wang, S.,
TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts,
ICCV19(2861-2870)
IEEE DOI 2004
image recognition, text detection, topological localization, vision based applications, BibRef

Zhan, F.N.[Fang-Neng], Lu, S.J.[Shi-Jian],
ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification,
CVPR19(2054-2063).
IEEE DOI 2002
BibRef

Zhu, Y., Wang, S., Huang, Z., Chen, K.,
Text Recognition in Images Based on Transformer with Hierarchical Attention,
ICIP19(1945-1949)
IEEE DOI 1910
text recognition in images, transformer, hierarchical attention structure BibRef

Liu, X., Liang, D., Yan, S., Chen, D., Qiao, Y., Yan, J.,
FOTS: Fast Oriented Text Spotting with a Unified Network,
CVPR18(5676-5685)
IEEE DOI 1812
Text recognition, Feature extraction, Convolution, Proposals, Task analysis, Decoding BibRef

He, T., Tian, Z., Huang, W., Shen, C., Qiao, Y., Sun, C.,
An End-to-End TextSpotter with Explicit Alignment and Attention,
CVPR18(5020-5029)
IEEE DOI 1812
Text recognition, Task analysis, Training, Feature extraction, Image recognition, Convolutional codes, Detectors BibRef

Zhu, Y., Du, J.,
Sliding Line Point Regression for Shape Robust Scene Text Detection,
ICPR18(3735-3740)
IEEE DOI 1812
Shape, Object detection, Neural networks, Proposals, Benchmark testing, Image edge detection, Text recognition BibRef

Kil, T.H.[Tae-Ho], Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Scene text rectification using glyph and character alignment properties,
ICPR18(3663-3668)
IEEE DOI 1812
Image segmentation, Cost function, Distortion, Optical character recognition software, Shape, Shearing BibRef

Bai, F., Cheng, Z., Niu, Y., Pu, S., Zhou, S.,
Edit Probability for Scene Text Recognition,
CVPR18(1508-1516)
IEEE DOI 1812
Training, Text recognition, Character recognition, Feature extraction, Neural networks, Decoding, Fans BibRef

Zhan, F.N.[Fang-Neng], Lu, S.J.[Shi-Jian], Xue, C.[Chuhui],
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes,
ECCV18(VIII: 257-273).
Springer DOI 1810
BibRef

Liu, Y.[Yang], Wang, Z.W.[Zhao-Wen], Jin, H.L.[Hai-Lin], Wassell, I.[Ian],
Synthetically Supervised Feature Learning for Scene Text Recognition,
ECCV18(VI: 449-465).
Springer DOI 1810
BibRef

Liu, W.[Wei], Chen, C.F.[Chao-Feng], Wong, K.Y.K.[Kwan-Yee K.],
SAFE: Scale Aware Feature Encoder for Scene Text Recognition,
ACCV18(II:196-211).
Springer DOI 1906
BibRef

Sabir, A.[Ahmed], Moreno-Noguer, F.[Francesc], Padró, L.[Lluís],
Visual Re-ranking with Natural Language Understanding for Text Spotting,
ACCV18(III:68-82).
Springer DOI 1906
BibRef

Liu, W.[Wei], Chen, C.F.[Chao-Feng], Wong, K.Y.K.[Kwan-Yee K.], Su, Z.Z.[Zhi-Zhong], Han, J.Y.[Jun-Yu],
STAR-Net: A SpaTial Attention Residue Network for Scene Text Recognition,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Sui, W., Zhang, Q., Yang, J., Chu, W.,
A Novel Integrated Framework for Learning both Text Detection and Recognition,
ICPR18(2233-2238)
IEEE DOI 1812
Text recognition, Feature extraction, Training, Databases, Proposals, Task analysis BibRef

Xu, X., Zhou, J., Zhang, H.,
Screen-rendered text images recognition using a deep residual network based segmentation-free method,
ICPR18(2741-2746)
IEEE DOI 1812
Text recognition, Image segmentation, Convolution, Feature extraction, Image recognition, Character recognition, connectionist temporal classification BibRef

Cheng, Z., Xu, Y., Bai, F., Niu, Y., Pu, S., Zhou, S.,
AON: Towards Arbitrarily-Oriented Text Recognition,
CVPR18(5571-5579)
IEEE DOI 1812
Feature extraction, Text recognition, Character recognition, Visualization, Image recognition, Decoding, Task analysis BibRef

He, M., Liu, Y., Yang, Z., Zhang, S., Luo, C., Gao, F., Zheng, Q., Wang, Y., Zhang, X., Jin, L.,
ICPR2018 Contest on Robust Reading for Multi-Type Web Images,
ICPR18(7-12)
IEEE DOI 1812
Task analysis, Text recognition, Protocols, Measurement, Training, Character recognition, Training data BibRef

Ray, A.[Archan], Kumar, N.[Nishant], Shaw, A.K.[Avishek Kumar], Mukherjee, D.P.[Dipti Prasad],
U-PC: Unsupervised Planogram Compliance,
ECCV18(X: 598-613).
Springer DOI 1810
Recognizing merchandise displayed in the shelves of a supermarket. BibRef

Krishna, O., Aizawa, K.,
Billboard Saliency Detection in Street Videos for Adults and Elderly,
ICIP18(2326-2330)
IEEE DOI 1809
Senior citizens, Videos, Task analysis, Feature extraction, Predictive models, Computational modeling, Measurement, Saliency, Fixations BibRef

Gao, Y.Z.[Yun-Ze], Chen, Y.Y.[Ying-Ying], Wang, J.Q.[Jin-Qiao], Tang, M.[Ming], Lu, H.Q.[Han-Qing],
Dense Chained Attention Network for Scene Text Recognition,
ICIP18(679-683)
IEEE DOI 1809
Text recognition, Noise measurement, Feature extraction, Benchmark testing, Image recognition, Semantics, convolution-deconvolution BibRef

de Jesus, W.M.[Wellington Moreira], Borges, D.L.[Díbio Leandro],
An Improved Stroke Width Transform to Detect Race Bib Numbers,
MCPR18(267-276).
Springer DOI 1807
BibRef

Agarwal, N., Ferrier, N., Hereld, M.,
Towards Automated Transcription of Label Text from Pinned Insect Collections,
WACV18(189-198)
IEEE DOI 1806
document image processing, optical character recognition, text analysis, aligned images, White spaces BibRef

Galteri, L., Bazazian, D., Seidenari, L., Bertini, M., Bagdanov, A.D., Nicolaou, A., Karatzas, D., del Bimbo, A.,
Reading Text in the Wild from Compressed Images,
Egocentric17(2399-2407)
IEEE DOI 1802
Discrete cosine transforms, Image coding, Image color analysis, Proposals, Text recognition, Transform coding BibRef

Tonioni, A.[Alessio], di Stefano, L.[Luigi],
Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem,
CIAP17(I:682-693).
Springer DOI 1711
BibRef

Song, J.S.[Jia-Sheng], Chen, D.[Dan], Wang, Y.J.[Yong-Jian],
Review on on-line visual ferrographic analysis system for marine diesel engine,
ICIVC17(351-355)
IEEE DOI 1708
Character recognition, Gravity, Image color analysis, Image segmentation, Inspection, Monitoring, control of debris depositing, debris image segmentaiond, ferrographical analysis, on-line, system BibRef

Polzounov, A., Ablavatski, A., Escalera, S., Lu, S., Cai, J.,
Wordfence: Text detection in natural images with border awareness,
ICIP17(1222-1226)
IEEE DOI 1803
Image recognition, Image segmentation, Proposals, Semantics, Task analysis, Text recognition, CNN, segmentation, word detection BibRef

Hu, H., Zhang, C., Luo, Y., Wang, Y., Han, J., Ding, E.,
WordSup: Exploiting Word Annotations for Character Based Text Detection,
ICCV17(4950-4959)
IEEE DOI 1802
character recognition, feature extraction, text analysis, text detection, Chinese expression, Japanese expression, Visualization BibRef

Meng, L.[Lin],
Two-Stage Recognition for Oracle Bone Inscriptions,
CIAP17(II:672-682).
Springer DOI 1711
BibRef

Endo, R., Kawai, Y., Sumiyoshi, H., Sano, M.,
Scene-Text-Detection Method Robust Against Orientation and Discontiguous Components of Characters,
Odometry17(941-949)
IEEE DOI 1709
Compounds, Feature extraction, Image color analysis, Robustness, Search methods, Text recognition, Training, data BibRef

Nguyen, D.[Dinh], Lu, S.J.[Shi-Jian], Ouarti, N.[Nizar], Mokhtari, M.[Mounir],
Text-Edge-Box: An Object Proposal Approach for Scene Texts Localization,
WACV17(1296-1305)
IEEE DOI 1609
Correlation, Distortion, Feature extraction, Image edge detection, Proposals, Text recognition, Transforms BibRef

Zhang, X.L.[Xue-Lei], Zhang, Z., Zhang, C.Q.[Cheng-Quan], Bai, X.,
Symmetry-based object proposal for text detection,
ICPR16(709-714)
IEEE DOI 1705
Brightness, Clustering algorithms, Feature extraction, Image color analysis, Object detection, Proposals, Text, recognition BibRef

Ray, A., Shah, A., Chaudhury, S.,
Recognition based text localization from natural scene images,
ICPR16(1177-1182)
IEEE DOI 1705
Character recognition, Feature extraction, Image color analysis, Image recognition, Support vector machines, Text, recognition BibRef

Liu, X., Kawanishi, T., Wu, X.M.[Xiao-Meng], Kashino, K.[Kunio],
Scene text recognition with CNN classifier and WFST-based word labeling,
ICPR16(3999-4004)
IEEE DOI 1705
Character recognition, Image recognition, Labeling, Optical character recognition software, Text recognition, Training BibRef

Uchida, S., Shinahara, Y.,
What does scene text tell us?,
ICPR16(4047-4052)
IEEE DOI 1705
Context, Neural networks, Semantics, Text recognition, Training, Vocabulary BibRef

Jiang, X., Lian, J., Xia, Z., Feng, X., Hadid, A.,
Fast Chinese character detection from complex scenes,
IPTA16(1-4)
IEEE DOI 1703
character recognition BibRef

Tounsi, M., Moalla, I., Alimi, A.M.,
Supervised dictionary learning in BoF framework for Scene Character recognition,
ICPR16(3987-3992)
IEEE DOI 1705
Character recognition, Dictionaries, Image recognition, Neural networks, Text recognition, Training, Visualization, Auto-encoder, Dictionary Learning, Scene Character Recognition, Sparse, Neural, Networks BibRef