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0611
Classifier combining; Adaptive classifiers; Adaptive committee;
On-line adaptation; Handwritten character recognition
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0604
Fuzzy c-means clustering algorithm; Handwritten character recognition;
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Earlier:
Using Learned Conditional Distributions as Edit Distance,
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Springer DOI
0608
Stochastic edit distance; Finite-state transducers
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0609
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FHR02(145-150).
IEEE Top Reference.
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IEEE DOI
0109
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Soares de Oliveira, L.E.[Luiz E.],
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IJDAR(8), No. 4, September 2006, pp. 262-279.
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0609
See also Impacts of verification on a numeral string recognition system.
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Soares de Oliveira, L.E.[Luiz E.],
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ICDAR03(676-680).
IEEE DOI
0311
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Hirabara, L.Y.[Luciane Y.],
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Sabourin, R.[Robert],
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CIARP11(507-514).
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Plötz, T.[Thomas],
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Elsevier DOI
1203
Pattern classification; Dynamic Bayesian Network; Structure learning;
Supervised learning; Handwritten character recognition; Evolutionary
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Liwicki, M.[Marcus],
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Handwriting recognition
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Character recognition
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Costagliola, G.,
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Character recognition, Handwriting recognition, Keyboards,
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Handwritten character recognition,
Writer-independent features, Adversarial feature learning,
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Ptucha, R.[Raymond],
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1901
Handwriting recognition, Fully convolutional neural networks, Deep learning
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Liu, Y.L.[Yu-Liang],
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Automatic labeling, Handwritten characters, Path signature, Gate guided
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Yousef, M.[Mohamed],
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2008
Text recognition, Optical character recognition,
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2010
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IEEE DOI
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Training, Gaussian distribution, Text recognition,
Image reconstruction, Task analysis, Generators, Convolution,
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2206
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2208
Online handwriting, Offline handwriting, Printed character,
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MSdocTr-Lite: A lite transformer for full page multi-script
handwriting recognition,
PRL(169), 2023, pp. 28-34.
Elsevier DOI
2305
Seq2Seq model, Page-level recognition,
Handwritten text recognition, Multi-script, Transformer, Transfer learning
BibRef
Coquenet, D.[Denis],
Chatelain, C.[Clément],
Paquet, T.[Thierry],
DAN: A Segmentation-Free Document Attention Network for Handwritten
Document Recognition,
PAMI(45), No. 7, July 2023, pp. 8227-8243.
IEEE DOI
2306
Layout, Text recognition, Task analysis, Image segmentation,
Handwriting recognition, Transformers, Annotations, transformer
BibRef
Vidal, E.[Enrique],
Toselli, A.H.[Alejandro H.],
Ríos-Vila, A.[Antonio],
Calvo-Zaragoza, J.[Jorge],
End-to-End page-Level assessment of handwritten text recognition,
PR(142), 2023, pp. 109695.
Elsevier DOI
2307
Handwritten text recognition,
Full-Page end-to-End text image transcription, Word error rate
BibRef
Pippi, V.[Vittorio],
Cascianelli, S.[Silvia],
Cucchiara, R.[Rita],
Handwritten Text Generation from Visual Archetypes,
CVPR23(22458-22467)
IEEE DOI
2309
BibRef
Zhang, X.Y.[Xiao-Yi],
Wang, J.P.[Jia-Peng],
Jin, L.W.[Lian-Wen],
Ren, Y.J.[Yu-Jin],
Xue, Y.[Yang],
CMT-CO: Contrastive Learning with Character Movement Task for
Handwritten Text Recognition,
ACCV22(VII:626-642).
Springer DOI
2307
BibRef
Heil, R.[Raphaela],
Breznik, E.[Eva],
A Study of Augmentation Methods for Handwritten Stenography Recognition,
IbPRIA23(134-145).
Springer DOI
2307
BibRef
Cascianelli, S.[Silvia],
Cornia, M.[Marcella],
Baraldi, L.[Lorenzo],
Piazzi, M.L.[Maria Ludovica],
Schiuma, R.[Rosiana],
Cucchiara, R.[Rita],
Learning to Read L'Infinito:
Handwritten Text Recognition with Synthetic Training Data,
CAIP21(II:340-350).
Springer DOI
2112
BibRef
Bhunia, A.K.[Ayan Kumar],
Ghose, S.[Shuvozit],
Kumar, A.[Amandeep],
Chowdhury, P.N.[Pinaki Nath],
Sain, A.[Aneeshan],
Song, Y.Z.[Yi-Zhe],
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition,
CVPR21(15825-15834)
IEEE DOI
2111
Adaptation models, Adaptive systems,
Text recognition, Computational modeling, Computer architecture, Writing
BibRef
Cojocaru, I.[Iulian],
Cascianelli, S.[Silvia],
Baraldi, L.[Lorenzo],
Corsini, M.[Massimiliano],
Cucchiara, R.[Rita],
Watch Your Strokes: Improving Handwritten Text Recognition with
Deformable Convolutions,
ICPR21(6096-6103)
IEEE DOI
2105
Handwriting recognition, Adaptation models, Convolution,
Text recognition, Benchmark testing, Writing, Distance measurement
BibRef
Jayasundara, V.,
Jayasekara, S.,
Jayasekara, H.,
Rajasegaran, J.,
Seneviratne, S.,
Rodrigo, R.,
TextCaps: Handwritten Character Recognition With Very Small Datasets,
WACV19(254-262)
IEEE DOI
1904
handwritten character recognition,
learning (artificial intelligence), object recognition,
Task analysis
BibRef
Clark-Younger, H.,
Mills, S.,
Szymanski, L.,
Stacked Hourglass CNN for Handwritten Character Location,
IVCNZ18(1-6)
IEEE DOI
1902
Training, Heating systems, Task analysis, Character recognition,
Keyword search, Semantics,
character recognition
BibRef
Tang, W.,
Yu, P.,
Zhou, J.,
Wu, Y.,
Towards a Unified Compositional Model for Visual Pattern Modeling,
ICCV17(2803-2812)
IEEE DOI
1802
backpropagation, character recognition, graph theory,
handwritten character recognition, image recognition,
Visualization
BibRef
Peymani, K.,
Soryani, M.,
From machine generated to handwritten character recognition;
a deep learning approach,
IPRIA17(243-247)
IEEE DOI
1712
feedforward neural nets,
handwritten character recognition,
Optical Character Recognition
BibRef
Ayyalasomayajula, K.R.[Kalyan Ram],
Nettelblad, C.[Carl],
Brun, A.[Anders],
Feature Evaluation for Handwritten Character Recognition with
Regressive and Generative Hidden Markov Models,
ISVC16(I: 278-287).
Springer DOI
1701
BibRef
Amara, M.[Marwa],
Zidi, K.[Kamel],
Ghedira, K.[Khaled],
Towards a Generic M-SVM Parameters Estimation Using Overlapping Swarm
Intelligence for Handwritten Characters Recognition,
ACIVS16(498-509).
Springer DOI
1611
BibRef
El-Sana, J.[Jihad],
Kedem, K.[Klara],
Word of blobs,
ICDAR15(1016-1020)
IEEE DOI
1511
Blobs that resemble the strokes.
BibRef
Hyuga, T.,
Wada, H.,
Aizawa, T.,
Ijiri, Y.,
Kawade, M.,
Deformed and Touched Characters Recognition,
ACPR13(744-745)
IEEE DOI
1408
computer vision
BibRef
Cecotti, H.[Hubert],
Vajda, S.[Szilárd],
A Radial Neural Convolutional Layer for Multi-oriented Character
Recognition,
ICDAR13(668-672)
IEEE DOI
1312
BibRef
And:
Rejection Schemes in Multi-class Classification:
Application to Handwritten Character Recognition,
ICDAR13(445-449)
IEEE DOI
1312
handwritten character recognition
Radon transforms.
BibRef
Roy, U.,
Sankaran, N.,
Sankar, K.P.,
Jawahar, C.V.,
Character N-Gram Spotting on Handwritten Documents Using
Weakly-Supervised Segmentation,
ICDAR13(577-581)
IEEE DOI
1312
handwritten character recognition
BibRef
Breuel, T.M.,
Ul-Hasan, A.,
Al-Azawi, M.A.,
Shafait, F.,
High-Performance OCR for Printed English and Fraktur Using LSTM
Networks,
ICDAR13(683-687)
IEEE DOI
1312
handwriting recognition
BibRef
Ciresan, D.C.[Dan Claudiu],
Meier, U.[Ueli],
Gambardella, L.M.[Luca Maria],
Schmidhuber, J.[Jurgen],
Convolutional Neural Network Committees for Handwritten Character
Classification,
ICDAR11(1135-1139).
IEEE DOI
1111
BibRef
Gao, Y.[Yan],
Jin, L.[Lanwen],
He, C.[Cong],
Zhou, G.[Guibin],
Handwriting Character Recognition as a Service:
A New Handwriting Recognition System Based on Cloud Computing,
ICDAR11(885-889).
IEEE DOI
1111
BibRef
Miyoshi, T.[Toshinori],
Shinjo, H.[Hiroshi],
Nagasaki, T.[Takeshi],
Simplified polynomial network classifier for handwritten character
recognition,
ICPR08(1-5).
IEEE DOI
0812
BibRef
Schlapbach, A.[Andreas],
Wettstein, F.[Frank],
Bunke, H.[Horst],
Estimating the readability of handwritten text:
A Support Vector Regression based approach,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Thome, N.,
Vacavant, A.,
A Combined Statistical-Structural Strategy for Alphanumeric Recognition,
ISVC07(II: 529-538).
Springer DOI
0711
BibRef
Sadri, J.[Javad],
Suen, C.Y.[Ching Y.],
Bui, T.D.[Tien D.],
A New Clustering Method for Improving Plasticity and Stability in
Handwritten Character Recognition Systems,
ICPR06(II: 1130-1133).
IEEE DOI
0609
BibRef
Miyao, H.[Hidetoshi],
Maruyama, M.[Minoru],
Virtual Example Synthesis Based on PCA for Off-Line Handwritten
Character Recognition,
DAS06(96-105).
Springer DOI
0602
See also online handwritten music symbol recognition system, An.
See also On-Line Handwritten flowchart Recognition, Beautification and Editing System.
BibRef
Miyao, H.,
Maruyama, M.,
Nakano, Y.,
Hananoi, T.,
Off-line handwritten character recognition by SVM based on the virtual
examples synthesized from on-line characters,
ICDAR05(I: 494-498).
IEEE DOI
0508
BibRef
Liu, Y.[Yang],
Liu, X.B.[Xia-Bi],
Jia, Y.D.[Yun-De],
Hand-Gesture Based Text Input for Wearable Computers,
CVS06(8).
IEEE DOI
0602
Write the character by the fingertip.
BibRef
Keysers, D.,
Gollan, C.,
Ney, H.,
Local context in non-linear deformation models for handwritten
character recognition,
ICPR04(IV: 511-514).
IEEE DOI
0409
BibRef
Sun, G.[Guangling],
Huang, J.H.[Jian-Hua],
Tang, X.L.[Xiang-Long],
Active discriminant functions for handwriting recognition,
ICPR04(II: 602-605).
IEEE DOI
0409
BibRef
Chang, F.[Fu],
Lin, C.C.[Chin-Chin],
Chen, C.J.[Chun-Jen],
Applying a hybrid method to handwritten character recognition,
ICPR04(II: 529-532).
IEEE DOI
0409
BibRef
Noor, N.M.,
Razaz, M.,
Manley-Cooke, P.,
Global geometry extraction for fuzzy logic based handwritten character
recognition,
ICPR04(II: 513-516).
IEEE DOI
0409
BibRef
Ellozy, H.A.[Hamed A.],
Jeanty, H.H.[Henry H.],
Tappert, C.C.[Charles C.],
Handwriting recognition employing pairwise discriminant measures,
US_Patent5,005,205, April 2, 1991.
WWW Link.
BibRef
9104
Cha, S.H.[Sung-Hyuk],
Yoon, S.S.[Sung-Soo],
Tappert, C.C.,
On binary similarity measures for handwritten character recognition,
ICDAR05(I: 4-8).
IEEE DOI
0508
BibRef
Cha, S.H.[Sung-Hyuk],
Tappert, C.C.,
Srihari, S.N.,
Optimizing binary feature vector similarity measure using genetic
algorithm and handwritten character recognition,
ICDAR03(662-665).
IEEE DOI
0311
BibRef
Feldbach, M.,
Tönnies, K.D.,
Word segmentation of handwritten dates in historical documents by
combining semantic a-priori-knowledge with local features,
ICDAR03(333-337).
IEEE DOI
0311
BibRef
Earlier:
Segmentation of the Date in Entries of Historical Church Registers,
DAGM02(403 ff.).
Springer DOI
0303
BibRef
Earlier:
Line detection and segmentation in historical church registers,
ICDAR01(743-747).
IEEE DOI
0109
BibRef
Cho, S.J.[Sung-Jung],
Perrone, M.P.,
Ratzlaff, E.,
Probability table compression for handwritten character recognition,
ICDAR03(173-177).
IEEE DOI
0311
BibRef
Nopsuwanchai, R.,
Povey, D.,
Discriminative training for HMM-based of fine handwritten character
recognition,
ICDAR03(114-118).
IEEE DOI
0311
BibRef
Wada, Y.,
Kasuga, H.,
Sumita, K.,
An evolutionary approach for the generation of diversiform characters
using a handwriting model,
ICPR02(III: 131-134).
IEEE DOI
0211
BibRef
Mori, M.,
Video text recognition using feature compensation as category-dependent
feature extraction,
ICDAR03(645-649).
IEEE DOI
0311
BibRef
Mori, M.,
Sawaki, M.,
Hagita, N.,
Category-dependent feature extraction for recognition of degraded
handwritten characters,
ICPR02(III: 155-159).
IEEE DOI
0211
BibRef
Mori, M.,
Sawaki, M.,
Hagita, N.,
Murase, H.,
Mukawa, N.,
Robust feature extraction based on run-length compensation for degraded
handwritten character recognition,
ICDAR01(650-654).
IEEE DOI
0109
BibRef
Lam, L.,
Xu, Q.Z.[Qi-Zhi],
Suen, C.Y.,
Differentiation between alphabetic and numeric data using NN ensembles,
ICPR02(IV: 40-43).
IEEE DOI
0211
BibRef
Zhu, X.Y.[Xiao-Yan],
Shi, Y.F.[Yi-Fan],
A handwritten character recognition method with ANN feedback,
ICDAR01(255-259).
IEEE DOI
0109
BibRef
And:
A New Algorithm for Handwritten Character Recognition,
ICIP01(I: 1130-1133).
IEEE DOI
0108
BibRef
Arlandis, J.[Joaquim],
Perez-Cortes, J.C.[Juan-Carlos],
Llobet, R.[Rafael],
Handwritten Character Recognition Using the Continuos Distance
Transformation,
ICPR00(Vol I: 940-943).
IEEE DOI
0009
BibRef
Miller, E.G.[Erik G.],
Matsakis, N.E.[Nicholas E.],
Viola, P.A.[Paul A.],
Learning from One Example through Shared Densities on Transforms,
CVPR00(I: 464-471).
IEEE DOI
0005
Learning
BibRef
Prema, K.V.,
Reddy, N.V.S.,
Neural Network Based Handwritten Character Recognition
for Conflict Resolution,
MVA98(xx-yy).
BibRef
9800
Waizumi, Y.,
Kato, N.,
Saruta, K.,
Nemoto, Y.,
High Speed Rough Classification for Handwritten Characters
Using Hierarchical Learning Vector Quantization,
ICDAR97(23-27).
IEEE DOI
9708
BibRef
Matsumura, S.,
Kobayashi, T.,
Nakamura, O.,
Ogura, K.,
Document Input According to Recognition Accuracy of
Handwritten Characters,
ICDAR97(51-55).
IEEE DOI
9708
BibRef
Rodrigues Gomes, N.,
Lee, L.L.[Luan Ling],
Feature extraction based on fuzzy set theory for handwriting
recognition,
ICDAR01(655-659).
IEEE DOI
0109
BibRef
Lee, L.L.[Luan Ling],
Rodrigues Gomes, N.,
Disconnected Handwritten Character Image Recognition,
ICDAR97(467-470).
IEEE DOI
9708
BibRef
Gloger, J.M.,
Kaltenmeier, A.,
Mandler, E.,
Andrews, L.,
Reject Management in a Handwriting Recognition System,
ICDAR97(556-559).
IEEE DOI
9708
BibRef
Kimura, F.,
Kayahara, N.,
Miyake, Y.,
Shridhar, M.,
Machine and human recognition of segmented characters from handwritten
words,
ICDAR97(866-869).
IEEE DOI
9708
BibRef
Park, H.S.[Hee-Seon],
Lee, S.W.[Seong-Whan],
An HMMRF-based statistical approach for off-line handwritten character
recognition,
ICPR96(II: 320-324).
IEEE DOI
9608
(Korea Univ., KOR)
BibRef
Gong, Y.,
Boyer, A.,
Hand-written text recognition based on a new formulation,
ICPR92(II:112-115).
IEEE DOI
9208
BibRef
Yokozuka, S.,
Kida, H.,
An application of feature selection to handwritten character
recognition,
ICPR92(II:537-540).
IEEE DOI
9208
BibRef
Kimura, M.,
Ejima, T.,
Aso, H.,
Yashiro, H.,
Son, N.,
Suzuki, M.,
An Intelligent Character Recognition System with High Accuracy and
High Speed by Integrating Image-Type and Logical-Type
Information Processings,
ICPR88(I: 38-40).
IEEE DOI
BibRef
8800
Holder, S.,
Dengler, J.,
Font- and Size-Invariant Character Recognition with
Greyvalue Image Features,
ICPR88(I: 252-254).
IEEE DOI
8811
BibRef
Leveridge, P.C.,
Leedham, C.G.,
Experiments with an N-Tuple Recogniser for Fast 'First Try'
Recognition of Unconstrained Handwritten Symbols,
ICPR88(II: 905-907).
IEEE DOI
8811
BibRef
Lettera, C.,
Masera, L.,
Paoli, C.,
Porinelli, R.,
Use of a Dictionary in Conjunction with a Handwritten Texts Recognizer,
ICPR86(699-701).
BibRef
8600
Sagawa, T.,
Tanaka, E.,
Suzuki, M.,
Fujita, M.,
An Unsupervised Learning of Hand-Printed Characters with
Linguistic Information,
ICPR84(766-769).
BibRef
8400
Kuklinski, T.T.,
Components of Handprint Style Variabilty,
ICPR84(924-926).
BibRef
8400
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Handwritten Characters, Feature Extraction .