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A Formalization of On-Line Handwritten Japanese Text Recognition Free
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0409
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ICDAR13(84-88)
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On-line Handwritten Japanese Characters Recognition Using a MRF Model
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ICDAR15(551-555)
IEEE DOI
1511
Convolutional neural network.
Handwritten Chinese character recognition
See also Shakeout: A New Approach to Regularized Deep Neural Network Training.
BibRef
Xie, Z.C.[Ze-Cheng],
Sun, Z.H.[Zeng-Hui],
Jin, L.W.[Lian-Wen],
Ni, H.[Hao],
Lyons, T.[Terry],
Learning Spatial-Semantic Context with Fully Convolutional Recurrent
Network for Online Handwritten Chinese Text Recognition,
PAMI(40), No. 8, August 2018, pp. 1903-1917.
IEEE DOI
1807
Context modeling, Feature extraction, Hidden Markov models,
Robustness, Semantics, Text recognition, Trajectory,
residual recurrent network
BibRef
Xie, Z.C.[Ze-Cheng],
Sun, Z.H.[Zeng-Hui],
Jin, L.W.[Lian-Wen],
Feng, Z.Y.[Zi-Yong],
Zhang, S.Y.[Shu-Ye],
Fully convolutional recurrent network for handwritten Chinese text
recognition,
ICPR16(4011-4016)
IEEE DOI
1705
Feature extraction, Logic gates, Search methods,
Speech recognition, Text recognition, Training, Trajectory
BibRef
Zhong, Z.Y.[Zhuo-Yao],
Jin, L.W.[Lian-Wen],
Feng, Z.Y.[Zi-Yong],
Multi-font printed Chinese character recognition using multi-pooling
convolutional neural network,
ICDAR15(96-100)
IEEE DOI
1511
Data augmentation
BibRef
Zhang, Z.Y.[Zhi-Yi],
Jin, L.W.[Lian-Wen],
Ding, K.[Kai],
Gao, X.[Xue],
Character-SIFT: A Novel Feature for Offline Handwritten Chinese
Character Recognition,
ICDAR09(763-767).
IEEE DOI
0907
BibRef
Ding, K.[Kai],
Deng, G.Q.[Guo-Qiang],
Jin, L.W.[Lian-Wen],
An Investigation of Imaginary Stroke Techinique for Cursive Online
Handwriting Chinese Character Recognition,
ICDAR09(531-535).
IEEE DOI
0907
BibRef
Huang, S.M.[Sheng-Ming],
Jin, L.W.[Lian-Wen],
Lv, J.[Jin],
A Novel Approach for Rotation Free Online Handwritten Chinese Character
Recognition,
ICDAR09(1136-1140).
IEEE DOI
0907
BibRef
Ding, K.[Kai],
Jin, L.W.[Lian-Wen],
Gao, X.[Xue],
A New Method for Rotation Free Method for Online Unconstrained
Handwritten Chinese Word Recognition: A Holistic Approach,
ICDAR09(1131-1135).
IEEE DOI
0907
BibRef
Long, T.[Teng],
Jin, L.W.[Lian-Wen],
A novel orientation free method for online unconstrained cursive
handwritten chinese word recognition,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Kang, G.L.[Guo-Liang],
Li, J.[Jun],
Tao, D.C.[Da-Cheng],
Shakeout: A New Approach to Regularized Deep Neural Network Training,
PAMI(40), No. 5, May 2018, pp. 1245-1258.
IEEE DOI
1804
Add random decision in training. Unlike Dropout that randomly discards, Shakeout
randomly increases or reduces.
Adaptation models, Biological neural networks,
Computational modeling, Computer architecture,
sparsity
See also DropSample: A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition.
BibRef
Zhang, X.Y.[Xu-Yao],
Liu, C.L.[Cheng-Lin],
Writer Adaptation with Style Transfer Mapping,
PAMI(35), No. 7, 2013, pp. 1773-1787.
IEEE DOI
1307
handwritten character recognition; handwriting style;
online Chinese handwriting; Hidden Markov models
BibRef
Huang, L.[Liang],
Yin, F.[Fei],
Chen, Q.H.[Qing-Hu],
Liu, C.L.[Cheng-Lin],
Keyword spotting in unconstrained handwritten Chinese documents using
contextual word model,
IVC(31), No. 12, 2013, pp. 958-968.
Elsevier DOI
1312
BibRef
Earlier:
Keyword Spotting in Offline Chinese Handwritten Documents Using a
Statistical Model,
ICDAR11(78-82).
IEEE DOI
1111
Keyword spotting
BibRef
Zhang, H.[Heng],
Wang, D.H.[Da-Han],
Liu, C.L.[Cheng-Lin],
Character confidence based on N-best list for keyword spotting in
online Chinese handwritten documents,
PR(47), No. 5, 2014, pp. 1880-1890.
Elsevier DOI
1402
BibRef
Earlier:
A confidence-based method for keyword spotting in online Chinese
handwritten documents,
ICPR12(525-528).
WWW Link.
1302
Online Chinese handwritten documents
BibRef
Zhang, H.[Heng],
Liu, C.L.[Cheng-Lin],
A Lattice-Based Method for Keyword Spotting in Online Chinese
Handwriting,
ICDAR11(1064-1068).
IEEE DOI
1111
BibRef
Zhang, H.[Heng],
Wang, D.H.[Da-Han],
Liu, C.L.[Cheng-Lin],
Keyword Spotting from Online Chinese Handwritten Documents Using
One-vs-All Trained Character Classifier,
FHR10(271-276).
IEEE DOI
1011
BibRef
Ma, L.L.[Long-Long],
Delaye, A.[Adrien],
Liu, C.L.[Cheng-Lin],
Special Radical Detection by Statistical Classification for On-line
Handwritten Chinese Character Recognition,
FHR10(501-506).
IEEE DOI
1011
BibRef
Du, J.[Jun],
Huo, Q.[Qiang],
An irrelevant variability normalization approach to discriminative
training of multi-prototype based classifiers and its applications
for online handwritten Chinese character recognition,
PR(47), No. 12, 2014, pp. 3959-3966.
Elsevier DOI
1410
BibRef
Earlier:
An Irrelevant Variability Normalization Based Discriminative Training
Approach for Online Handwritten Chinese Character Recognition,
ICDAR13(69-73)
IEEE DOI
1312
Irrelevant variability normalization
character recognition
BibRef
Zhang, J.,
Zhu, Y.,
Du, J.,
Dai, L.,
Trajectory-based Radical Analysis Network for Online Handwritten
Chinese Character Recognition,
ICPR18(3681-3686)
IEEE DOI
1812
Character recognition, Decoding, Periodic structures, Trajectory,
Feature extraction, Vocabulary, Handwriting recognition
BibRef
Du, J.[Jun],
Zhai, J.F.[Jian-Fang],
Hu, J.S.[Jin-Shui],
Writer adaptation via deeply learned features for online Chinese
handwriting recognition,
IJDAR(20), No. 1, March 2017, pp. 69-78.
Springer DOI
1703
BibRef
Zhang, X.Y.[Xu-Yao],
Yin, F.[Fei],
Zhang, Y.M.[Yan-Ming],
Liu, C.L.[Cheng-Lin],
Bengio, Y.[Yoshua],
Drawing and Recognizing Chinese Characters with Recurrent Neural
Network,
PAMI(40), No. 4, April 2018, pp. 849-862.
IEEE DOI
1804
feature extraction, handwriting recognition,
handwritten character recognition, image classification,
handwriting
BibRef
Wang, Z.R.[Zi-Rui],
Du, J.[Jun],
Wang, W.C.[Wen-Chao],
Zhai, J.F.[Jian-Fang],
Hu, J.S.[Jin-Shui],
A comprehensive study of hybrid neural network hidden Markov model for
offline handwritten Chinese text recognition,
IJDAR(21), No. 4, December 2018, pp. 241-251.
Springer DOI
1810
BibRef
Earlier: A2, A1, A4, A5, Only:
Deep neural network based hidden Markov model for offline handwritten
Chinese text recognition,
ICPR16(3428-3433)
IEEE DOI
1705
Bayes methods, Character recognition, Feature extraction,
Hidden Markov models, Neural networks, Text recognition, Training
BibRef
Du, J.[Jun],
Zhai, J.F.[Jian-Fang],
Hu, J.S.[Jin-Shui],
Zhu, B.[Bo],
Wei, S.[Si],
Dai, L.R.[Li-Rong],
Writer adaptive feature extraction based on convolutional neural
networks for online handwritten Chinese character recognition,
ICDAR15(841-845)
IEEE DOI
1511
convolutional neural network
BibRef
Du, J.[Jun],
Hu, J.S.[Jin-Shui],
Zhu, B.[Bo],
Wei, S.[Si],
Dai, L.R.[Li-Rong],
A Study of Designing Compact Classifiers Using Deep Neural Networks
for Online Handwritten Chinese Character Recognition,
ICPR14(2950-2955)
IEEE DOI
1412
Character recognition
BibRef
Ren, H.Q.[Hai-Qing],
Wang, W.Q.[Wei-Qiang],
Liu, C.L.[Cheng-Lin],
Recognizing online handwritten Chinese characters using RNNs with new
computing architectures,
PR(93), 2019, pp. 179-192.
Elsevier DOI
1906
Online handwritten Chinese character recognition,
Recurrent neural network, New computing architectures
BibRef
Nguyen, C.T.[Cuong Tuan],
Indurkhya, B.[Bipin],
Nakagawa, M.[Masaki],
A unified method for augmented incremental recognition of online
handwritten Japanese and English text,
IJDAR(23), No. 1, January 2020, pp. 53-72.
Springer DOI
2003
BibRef
Li, Y.X.[Yun-Xin],
Yang, Q.[Qian],
Chen, Q.C.[Qing-Cai],
Hu, B.T.[Bao-Tian],
Wang, X.L.[Xiao-Long],
Ding, Y.X.[Yu-Xin],
Ma, L.[Lin],
Fast and Robust Online Handwritten Chinese Character Recognition With
Deep Spatial and Contextual Information Fusion Network,
MultMed(25), 2023, pp. 2140-2152.
IEEE DOI
2306
Character recognition, Handwriting recognition, Context modeling,
Transformers, Task analysis, Robustness, Feature extraction,
Online handwritten Chinese character recognition (OLHCCR)
BibRef
Luo, J.[Jie],
He, C.W.[Cheng-Wan],
Luo, H.W.[Hong-Wei],
BRsyn-Caps: Chinese Text Classification Using Capsule Network Based on
Bert and Dependency Syntax,
IEICE(E108-D), No. 2, February 2024, pp. 212-219.
WWW Link.
2402
BibRef
Chen, Y.H.[Yi-Hong],
Zheng, H.[Hao],
Li, Y.C.[Yan-Chun],
Ouyang, W.L.[Wan-Li],
Zhu, J.[Jiang],
Online Handwritten Chinese Character Recognition Based on 1-D
Convolution and Two-Streams Transformers,
MultMed(26), 2024, pp. 5769-5781.
IEEE DOI
2404
Character recognition, Transformers, Trajectory,
Handwriting recognition, Convolutional neural networks,
vision transformer
BibRef
Zhu, Y.P.[Yuan-Ping],
Li, S.N.[Sheng-Nan],
Wang, H.[Hui],
Wei, F.L.[Fei-Long],
FINet: Handwriting trajectory reconstruction of Chinese characters
based on the font imitate network,
PR(157), 2025, pp. 110949.
Elsevier DOI
2409
Handwriting trajectory reconstruction, Spatial encoder, Temporal decoder,
Stroke feature network, Handwritten Chinese character recognition
BibRef
Lv, Y.F.[Yan-Fei],
Huang, L.L.[Lin-Lin],
Wang, D.H.[Da-Han],
Liu, C.L.[Cheng-Lin],
Learning-Based Candidate Segmentation Scoring for Real-Time
Recognition of Online Overlaid Chinese Handwriting,
ICDAR13(74-78)
IEEE DOI
1312
Internet
BibRef
Xia, Y.[Yong],
Wang, K.[Kuanquan],
Li, M.W.[Ming-Wei],
Chinese Keyword Spotting Using Knowledge-Based Clustering,
ICDAR11(789-793).
IEEE DOI
1111
BibRef
Wan, X.[Xiang],
Liu, C.S.[Chang-Song],
Zou, Y.M.[Yan-Ming],
On-line Chinese Character Recognition System for Overlapping Samples,
ICDAR11(799-803).
IEEE DOI
1111
BibRef
Tonouchi, Y.[Yojiro],
Path Evaluation and Character Classifier Training on Integrated
Segmentation and Recognition of Online Handwritten Japanese Character
String,
FHR10(513-517).
IEEE DOI
1011
BibRef
Wang, Y.Q.[Yong-Qiang],
Huo, Q.A.[Qi-Ang],
Shi, Y.[Yu],
A Study of Discriminative Training for HMM-Based Online Handwritten
Chinese/Japanese Character Recognition,
FHR10(518-523).
IEEE DOI
1011
BibRef
Ma, L.[Lei],
Huo, Q.A.[Qi-Ang],
Shi, Y.[Yu],
A Study of Feature Design for Online Handwritten Chinese Character
Recognition Based on Continuous-Density Hidden Markov Models,
ICDAR09(526-530).
IEEE DOI
0907
BibRef
Ma, L.L.[Long-Long],
Liu, C.L.[Cheng-Lin],
A new radical-based approach to online handwritten Chinese character
recognition,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Delaye, A.[Adrien],
Mace, S.[Sebastien],
Anquetil, E.[Eric],
Hybrid statistical-structural on-line Chinese character recognition
with fuzzy inference system,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Su, T.H.[Tong-Hua],
Zhang, T.W.[Tian-Wen],
Huang, H.J.[Hu-Jie],
Liu, C.L.[Cheng-Lin],
Segmentation-free recognizer based on enhanced four plane feature for
realistic Chinese handwriting,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Han, S.[Shi],
Chang, M.[Ming],
Zou, Y.[Yu],
Chen, X.J.[Xin-Jian],
Zhang, D.M.[Dong-Mei],
Systematic Multi-Path HMM Topology Design for Online Handwriting
Recognition of East Asian Characters,
ICDAR07(604-608).
IEEE DOI
0709
BibRef
Tokuno, J.[Junko],
Yang, Y.P.[Yi-Ping],
da Silva, G.P.[Gleidson Pegoretti],
Kitadai, A.[Akihito],
Nakagawa, M.[Masaki],
Pen-Coordinate Information Modeling by SCPR-based HMM for On-line
Japanese Handwriting Recognition,
ICPR06(III: 348-351).
IEEE DOI
0609
BibRef
Bai, Z.L.[Zhen-Long],
Huo, Q.A.[Qi-Ang],
A Study of Nonlinear Shape Normalization for Online Handwritten Chinese
Character Recognition: Dot Density vs. Line Density Equalization,
ICPR06(II: 921-924).
IEEE DOI
0609
BibRef
Katayama, Y.[Yoshinori],
Uchida, S.[Seiichi],
Sakoe, H.[Hiroaki],
Stochastic Model of Stroke Order Variation,
ICDAR09(803-807).
IEEE DOI
0907
BibRef
Earlier:
A new HMM for on-line character recognition using pen-direction and
pen-coordinate features,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Cai, W.J.[Wen-Jie],
Uchida, S.[Seiichi],
Sakoe, H.[Hiroaki],
An Efficient Radical-Based Algorithm for Stroke-Order-Free Online Kanji
Character Recognition,
ICPR06(II: 986-989).
IEEE DOI
0609
BibRef
Nakamura, Y.,
Kidode, M.,
Individuality analysis of online Kanji handwriting,
ICDAR05(II: 620-624).
IEEE DOI
0508
BibRef
Gao, X.[Xue],
Lallican, P.M.,
Viard-Gaudin, C.,
A two-stage online handwritten Chinese character segmentation algorithm
based on dynamic programming,
ICDAR05(II: 735-739).
IEEE DOI
0508
BibRef
Zhu, X.Y.[Xiao-Yuan],
Ge, Y.[Yong],
Guo, F.J.[Feng-Jun],
Zhen, L.X.[Li-Xin],
A Probabilistic Framework for Soft Target Learning in Online Cursive
Handwriting Recognition,
ICDAR09(1246-1250).
IEEE DOI
0907
BibRef
Guo, F.J.[Feng-Jun],
Zhen, L.X.[Li-Xin],
Ge, Y.[Yong],
Zhang, Y.[Yun],
An Efficient Candidate Set Size Reduction Method for
Coarse-Classification in Chinese Handwriting Recognition,
SACH06(xx-yy).
Springer DOI
0609
BibRef
Ge, Y.[Yong],
Guo, F.J.[Feng-Jun],
Zhen, L.X.[Li-Xin],
Chen, Q.S.[Qing-Shan],
Online Chinese character recognition system with handwritten Pinyin
input,
ICDAR05(II: 1265-1269).
IEEE DOI
0508
BibRef
Lai, Y.B.[Yuan-Bi],
Lan, L.S.[Leu-Shing],
Tsai, M.Y.[Ming-Yen],
Chin, C.C.[Chien-Chung],
On-line handwritten chinese character recognition using a radical-based
affine transformation,
ICIP04(V: 2881-2884).
IEEE DOI
0505
BibRef
Ding, Y.[Yimei],
Okada, M.,
Kimura, F.,
Miyake, Y.,
Application of slant correction to handwritten Japanese address
recognition,
ICDAR01(670-674).
IEEE DOI
0109
BibRef
Ezaki, N.,
Hikichi, T.,
Kiyota, K.,
Yamamoto, S.,
A Pen-based Japanese Character Input System for the Blind Person,
ICPR00(Vol IV: 372-375).
IEEE DOI
0009
BibRef
Stockton, R.,
Sukthankar, R.,
JKanji: Wavelet-based Interactive Kanji Completion,
ICPR00(Vol IV: 442-446).
IEEE DOI
0009
BibRef
Kiyota, K.[Kimiyasy],
Yanai, T.[Takashi],
Ezaki, N.[Nobuo],
Yamamoto, S.J.[Shin-Ji],
An Improvement of On-Line Japanese Character Recognition System for
Visually Disabled Persons,
ICPR98(Vol II: 1752-1754).
IEEE DOI
9808
BibRef
Kiyota, K.,
Yamamoto, S.,
Ezaki, N.,
Sakurai, T.,
On-Line Japanese Character Recognition System for
Visually Disabled Persons,
ICPR96(III: 210-214).
IEEE DOI
9608
(Kumamoto National College of Technology, J)
BibRef
Nambu, H.[Hajime],
Maruyama, F.[Fuyuki],
Kawamata, T.[Takenori],
Yoda, F.[Fumio],
On-Line Handwriting Chinese Character Recognition:
Comparison and Improvement to Japanese Kanji Recognition,
ICPR98(Vol II: 1145-1149).
IEEE DOI
9808
BibRef
Yamasaki, K.[Kazutaka],
Automatic Allograph Categorization Based on Stroke Clustering for
On-Line Handwritten Japanese Character Recognition,
ICPR98(Vol II: 1150-1152).
IEEE DOI
9808
BibRef
Tonouchi, Y.,
Kawamura, A.,
An On-Line Japanese Character Recognition Method Using
Length-Based Stroke Correspondence Algorithm,
ICDAR97(633-636).
IEEE DOI
9708
BibRef
Kawamura, A.,
Yura, K.,
Hayama, T.,
Hidai, Y.,
Minamikawa, T.,
Tanaka, A.,
Masuda, S.,
Online recognition of freely handwritten Japanese characters using
directional feature densities,
ICPR92(II:183-186).
IEEE DOI
9208
BibRef
Zheng, J.,
Ding, X.,
Wu, Y.,
Recognizing On-Line Handwritten Chinese Character via FARG Matching,
ICDAR97(621-624).
IEEE DOI
9708
BibRef
Nakagawa, M.,
Akiyama, K.,
Tu, L.V.[Le Van],
Homma, A.,
Higashiyama, T.,
Robust and Highly Customizable Recognition of On-Line
Handwritten Japanese Characters,
ICPR96(III: 269-273).
IEEE DOI
9608
(Tokyo Univ. of Agriculture and Technology, J)
BibRef
Jin, L.,
Xu, B.,
Chan, K.,
Directional Cellular Feature Extraction with Elastic Meshing for
Handwritten Chinese Character Recognition,
ICPR96(C73.12).
9608
(South China Univ. of Technology, PRC)
BibRef
Shioyama, T.[Tadayoshi],
Wu, H.Y.[Hai Yuan],
Nojima, T.[Tatsuya],
Recognition Algorithm Based on Wavelet Transform
for Handprinted Chinese Characters,
ICPR98(Vol I: 229-232).
IEEE DOI
9808
BibRef
Shioyama, T.,
Hamanaka, J.,
Recognition Algorithm for Handprinted Chinese Characters by 2D-FFT,
ICPR96(III: 225-229).
IEEE DOI
9608
(Kyoto Institute of Technology, J)
BibRef
Chen, X.P.[Xiao-Ping],
Qiao, Y.Z.[Yi-Zheng],
On-line recognition of Renqun's handwritten shorthand,
ICDAR97(941-944).
IEEE DOI
9708
BibRef
Chen, J.W.,
Lee, S.Y.,
On-Line Handwriting Recognition of Chinese Characters via a
Rule-Based Approach,
ICPR96(III: 220-224).
IEEE DOI
9608
(National Chiao Tung Univ., ROC)
BibRef
Chiang, C.C.,
Yu, S.,
A Method for Improving the Machine Recognition of
Confusing Chinese Characters,
ICPR96(III: 79-83).
IEEE DOI
9608
(Industr. Techn. Res. Inst., ROC)
BibRef
Chou, K.,
Fan, K.,
Fan, T.,
Radical-Based Neighboring Segment Matching Method for
On-Line Chinese Character Recognition,
ICPR96(III: 84-88).
IEEE DOI
9608
(Telecom. Labs, ROC)
BibRef
Chen, Z.,
Lee, C.,
Cheng, R.,
Handwritten Chinese Character Analysis and Preclassification
Using Stroke Structural Sequence,
ICPR96(III: 89-93).
IEEE DOI
9608
(Nat. Chiao Tung Univ., ROC)
BibRef
Lu, S.W.,
Ren, Y.,
Suen, C.Y.,
Recognition of handwritten Chinese characters by searching the multiway
heterogeneous tree,
ICPR92(II:430-433).
IEEE DOI
9208
BibRef
Liu, Y.J.,
Tai, J.W.,
A Structural Approach to Online Chinese Character Recognition,
ICPR88(II: 808-810).
IEEE DOI
BibRef
8800
Murase, H.,
Online Recognition of Free-Format Japanese Handwritings,
ICPR88(II: 1143-1147).
IEEE DOI
BibRef
8800
Nakagawa, M.,
Aizawa, T.,
Komoda, C.,
Ikeda, Y.,
Takahashi, N.,
Syntactic Pattern Recognition with Stochastic Dissimilarity in
Japanese On-Line Input System (JOLIS)-1/1.5,
ICPR86(1059-1062).
BibRef
8600
Yamasaki, T.,
Inokuchi, S.,
Sakurai, Y.,
Training System for Well-Writing Based on On-Line
Character Recognition,
ICPR84(1039-1041).
BibRef
8400
Ye, P.J.,
Hugli, H.,
Pellandini, F.,
Techniques for On-Line Chinese Character Recognition with
Reduced Writing Constraints,
ICPR84(1043-1045).
BibRef
8400
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Chinese Character Seals .