25.2.2.3.1 CNN for Text Detection, Convolutional Neural Network

Chapter Contents (Back)
Scene Text. Text Detection.
See also Text Detection, Find Text in General Scenes, Scene Text.

Shi, B.G.[Bao-Guang], Bai, X.[Xiang], Yao, C.[Cong],
Script identification in the wild via discriminative convolutional neural network,
PR(52), No. 1, 2016, pp. 448-458.
Elsevier DOI 1601
Script identification
See also Text/Non-Text Image Classification in the Wild with Convolutional Neural Networks. BibRef

Mei, J.[Jieru], Dai, L.[Luo], Shi, B.G.[Bao-Guang], Bai, X.[Xiang],
Scene Text Script Identification with Convolutional Recurrent Neural Networks,
ICPR16(4053-4058)
IEEE DOI 1705
Convolution, Feature extraction, Hidden Markov models, Image representation, Logic gates, Recurrent, neural, networks BibRef

Tang, Y., Wu, X.,
Scene Text Detection and Segmentation Based on Cascaded Convolution Neural Networks,
IP(26), No. 3, March 2017, pp. 1509-1520.
IEEE DOI 1704
Convolution BibRef

Bazazian, D.[Dena], Gómez, R.[Raúl], Nicolaou, A.[Anguelos], Gómez, L.[Lluís], Karatzas, D.[Dimosthenis], Bagdanov, A.D.[Andrew D.],
FAST: Facilitated and Accurate Scene Text Proposals through FCN Guided Pruning,
PRL(119), 2019, pp. 112-120.
Elsevier DOI 1902
Text proposals, Fully convolutional networks, Scene text images BibRef

Zhong, Z.Y.[Zhuo-Yao], Sun, L.[Lei], Huo, Q.A.[Qi-Ang],
Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images,
PR(96), 2019, pp. 106986.
Elsevier DOI 1909
Text detection, Text localization accuracy, Faster R-CNN, LocNet, Natural scene images BibRef

Zhong, Z.Y.[Zhuo-Yao], Sun, L.[Lei], Huo, Q.A.[Qi-Ang],
An anchor-free region proposal network for Faster R-CNN-based text detection approaches,
IJDAR(22), No. 3, September 2019, pp. 315-327.
Springer DOI 1909
BibRef

Kim, M.[Minseong], Choi, H.C.[Hyun-Chul],
Improving Faster R-CNN Framework for Multiscale Chinese Character Detection and Localization,
IEICE(E103-D), No. 7, July 2020, pp. 1777-1781.
WWW Link. 2007
BibRef

Fan, J.Y.[Jia-Yuan], Chen, T.[Tao], Zhou, F.[Feng],
BURSTS: A bottom-up approach for robust spotting of texts in scenes,
JVCIR(71), 2020, pp. 102843.
Elsevier DOI 2009
Text spotting, CNN, Extremal region, Clustering BibRef

Hou, J., Zhu, X., Liu, C., Sheng, K., Wu, L., Wang, H., Yin, X.,
HAM: Hidden Anchor Mechanism for Scene Text Detection,
IP(29), 2020, pp. 7904-7916.
IEEE DOI 2007
Shape, Image segmentation, Computational efficiency, Computer architecture, Iterative methods, Task analysis, fully convolutional network BibRef

Saha, S.[Shaswata], Chakraborty, N.[Neelotpal], Kundu, S.[Soumyadeep], Paul, S.[Sayantan], Mollah, A.F.[Ayatullah Faruk], Basu, S.[Subhadip], Sarkar, R.[Ram],
Multi-lingual scene text detection and language identification,
PRL(138), 2020, pp. 16-22.
Elsevier DOI 1806
Multi-lingual, Scene Text, MSER, SWT, Deep learning, GAN, CNN BibRef

Wang, Y.X.[Yu-Xin], Xie, H.T.[Hong-Tao], Zha, Z.J.[Zheng-Jun], Tian, Y.L.[You-Liang], Fu, Z.L.[Zi-Long], Zhang, Y.D.[Yong-Dong],
R-Net: A Relationship Network for Efficient and Accurate Scene Text Detection,
MultMed(23), 2021, pp. 1316-1329.
IEEE DOI 2105
Feature extraction, Bidirectional control, Semantics, Convolutional codes, Task analysis, Visualization, Decoding, convolutional neural network (CNN) BibRef

Hou, J.B.[Jie-Bo], Zhu, X.B.[Xia-Bin], Liu, C.[Chang], Yang, C.[Chun], Wu, L.H.[Long-Huang], Wang, H.F.[Hong-Fa], Yin, X.C.[Xu-Cheng],
Detecting Text in Scene and Traffic Guide Panels With Attention Anchor Mechanism,
ITS(22), No. 11, November 2021, pp. 6890-6899.
IEEE DOI 2112
Active appearance model, Task analysis, Object detection, Shape, Intelligent transportation systems, Complexity theory, fully convolutional network BibRef

Wu, Y.[Yirui], Liu, W.X.[Wen-Xiang], Wan, S.H.[Shao-Hua],
Multiple attention encoded cascade R-CNN for scene text detection,
JVCIR(80), 2021, pp. 103261.
Elsevier DOI 2110
Cascade R-CNN, Deep representation learning, Applications to robust image recognition, Multi-oriented text BibRef

Hu, Y.L.[Yong-Li], Zhang, H.[Hanfu], Jiang, H.[Huajie], Bi, Y.D.[Yan-Dong], Yin, B.C.[Bao-Cai],
CGNN: Caption-assisted graph neural network for image-text retrieval,
PRL(161), 2022, pp. 137-142.
Elsevier DOI 2209
Image-text retrieval, Cross-modal retrieval, Image captioning, Graph convolution BibRef

Shivakumara, P.[Palaiahnakote], Banerjee, A.[Ayan], Pal, U.[Umapada], Nandanwar, L.[Lokesh], Lu, T.[Tong], Liu, C.L.[Cheng-Lin],
A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images,
IP(32), 2023, pp. 3552-3566.
IEEE DOI 2307
Social networking (online), Shape, Feature extraction, Degradation, Data mining, Frequency-domain analysis, Text detection, social media images BibRef

Shivakumara, P.[Palaiahnakote], Banerjee, A.[Ayan], Nandanwar, L.[Lokesh], Pal, U.[Umapada], Antonacopoulos, A.[Apostolos], Lu, T.[Tong], Blumenstein, M.[Michael],
A new deep CNN for 3D text localization in the wild through shadow removal,
CVIU(238), 2024, pp. 103863.
Elsevier DOI 2312
Text localization, Gradient vector flow, Shadow removal, 3D text classification, 3D text localization BibRef


Zhu, A.[Anna], Du, H.[Hang], Xiong, S.W.[Sheng-Wu],
Scene Text Detection with Selected Anchors,
ICPR21(6608-6615)
IEEE DOI 2105
Shape, Estimation, Benchmark testing, Pattern recognition, Proposals, Standards, scene text detection, anchor selection, text proposal, Faster RCNN BibRef

Huang, Z., Zhong, Z., Sun, L., Huo, Q.,
Mask R-CNN With Pyramid Attention Network for Scene Text Detection,
WACV19(764-772)
IEEE DOI 1904
feature extraction, natural scenes, object detection, text analysis, text detection, pyramid attention network, Benchmark testing BibRef

Duan, J., Xu, Y., Kuang, Z., Yue, X., Sun, H., Guan, Y., Zhang, W.,
Geometry Normalization Networks for Accurate Scene Text Detection,
ICCV19(9136-9145)
IEEE DOI 2004
computational geometry, convolutional neural nets, learning (artificial intelligence), text analysis, Object detection BibRef

Yu, Z., Lyu, S., Lu, Y., Wang, P.S.P.,
A Fusion Strategy for the Single Shot Text Detector,
ICPR18(3687-3691)
IEEE DOI 1812
feature extraction, image fusion, text analysis, text detection, single fully convolution network, fusion strategy, Training BibRef

Wang, F., Zhao, L., Li, X., Wang, X., Tao, D.,
Geometry-Aware Scene Text Detection with Instance Transformation Network,
CVPR18(1381-1389)
IEEE DOI 1812
Feature extraction, Adaptation models, Proposals, Standards, Convolutional neural networks, Task analysis, Strain BibRef

Mohanty, S., Dutta, T., Gupta, H.P.,
Recurrent Global Convolutional Network for Scene Text Detection,
ICIP18(2750-2754)
IEEE DOI 1809
Feature extraction, Neurons, Training, Lighting, Recurrent neural networks, Task analysis, Scene Text Detection BibRef

Mohanty, S., Dutta, T., PrabhatGupta, H.,
Robust Scene Text Detection with Deep Feature Pyramid Network and CNN based NMS Model,
ICPR18(3741-3746)
IEEE DOI 1812
Feature extraction, Task analysis, Semantics, Training, Image resolution, BibRef

Mohanty, S., Dutta, T., Gupta, H.P.,
An Efficient System for Hazy Scene Text Detection using a Deep CNN and Patch-NMS,
ICPR18(2588-2593)
IEEE DOI 1812
Task analysis, Feature extraction, Image resolution, Semantics, Detectors, Image color analysis BibRef

Li, J.J.[Jian-Jun], Wang, C.Y.[Chen-Yan], Luo, Z.X.[Zhen-Xing], Tang, Z.[Zhuo], Li, H.J.[Hao-Jie],
Accurate Detection for Scene Texts with a Cascaded CNN Networks,
MMMod18(II:36-47).
Springer DOI 1802
BibRef

Zhu, R.[Rui], Mao, X.J.[Xiao-Jiao], Zhu, Q.H.[Qi-Hai], Li, N.[Ning], Yang, Y.B.[Yu-Bin],
Text detection based on convolutional neural networks with spatial pyramid pooling,
ICIP16(1032-1036)
IEEE DOI 1610
Feature extraction BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Text Detection, Scene Text, Curved Text, Arbitrary Orientation .


Last update:May 6, 2024 at 15:50:14