25.4.4 Chinese, Japanese and Kanji Characters

Chapter Contents (Back)
OCR. Character Recognition. Chinese Character Recognition. Kanji Recognition.

Stallings, W.W.[William W.],
Recognition of Printed Chinese Characters by Automatic Pattern Analysis,
CGIP(1), No. 1, April 1972, pp. 47-65.
Elsevier DOI BibRef 7204

Stallings, W.W.[William W.],
Approaches to Chinese Character Recognition,
PR(8), No. 2, April 1976, pp. 87-98.
Elsevier DOI BibRef 7604

Wang, P.P.[Paul P.], Shiau, R.C.[Robert C.],
Machine Recognition of Printed Chinese Characters via Transformation Algorithms,
PR(5), No. 4, December 1973, pp. 303-321.
Elsevier DOI BibRef 7312

Ma, Y.L.,
The Pattern Recognition of Chinese Characters by Markov Chain Procedure,
SMC(4), 1974, pp. 223-228. BibRef 7400

Ma, Y.L.,
Chinese Character Recognition by a Stochastic Sectionalgram Method,
SMC(4), 1974, pp. 575-584. BibRef 7400

Gu, Y.X., Wang, Q.R., and Suen, C.Y.,
Application of a Multilayer Decision Tree in Computer Recognition of Chinese Characters,
PAMI(5), No. 1, January 1983, pp. 83-89. BibRef 8301

Kwok, H.L., Tai, L.C., Fung, Y.M.,
Machine Recognition of the Cantonese Digits Using Bandpass Filters,
ASSP(31), 1983, pp. 220-222. BibRef 8300

Kimura, F., Takashina, K., Tsuruoka, S., Miyake, Y.,
Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition,
PAMI(9), No. 1, January 1987, pp. 149-153. BibRef 8701
Earlier: Replace A2: Harada, T., ICPR84(377-380). BibRef

Wang, P.S.P.,
Knowledge Pattern Representation of Chinese Characters,
PRAI(2), 1988, pp. 161-179. BibRef 8800

Wang, P.S.P.,
A New Character Recognition Scheme with Lower Ambiguity and Higher Recognizability,
PRL(3), 1985, pp. 431-436. BibRef 8500

Morishita, T., Ooura, M., Ishii, Y.,
A Kanji Recognition Method Which Detects Writing Errors,
PRAI(2), 1988, pp. 181-195. BibRef 8800

Gan, K.W., Lua, K.T.,
Chinese character classification using an adaptive resonance network,
PR(25), No. 8, August 1992, pp. 877-882.
Elsevier DOI 0401
BibRef

Huang, X., Gu, J., Wu, Y.,
A constrained approach to multifont Chinese character recognition,
PAMI(15), No. 8, August 1993, pp. 838-843.
IEEE DOI 0401
BibRef

Li, T.[Tao], Tang, Y.Y.[Yuan Y.], Fang, L.Y.,
A Structure-Parameter-Adaptive (SPA) Neural Tree for the Recognition Of Large Character Set,
PR(28), No. 3, March 1995, pp. 315-329.
Elsevier DOI BibRef 9503

Chuang, C.T., Tseng, L.Y.,
A Heuristic Algorithm for the Recognition of Printed Chinese Characters,
SMC(25), No. 4, April 1995, pp. 710-717. BibRef 9504

Itoh, N.[Nobuyasu],
Japanese language model based on bigrams and its application to on-line character recognition,
PR(28), No. 2, February 1995, pp. 135-141.
Elsevier DOI 0401
BibRef

Lin, J.Y.[Jenn-Yih], Chen, Z.[Zen],
A Chinese-Character Thinning Algorithm-Based on Global Features and Contour Information,
PR(28), No. 4, April 1995, pp. 493-512.
Elsevier DOI BibRef 9504

Jeng, B.S.[Bor-Shenn], Shieh, T.M.[Tung-Ming], Miou, C.S.[Char-Shin], Lee, C.J.[Chun-Jen], Chien, B.S.[Bing-Shan], Hu, Y.H.[Yu-Hen], Chang, G.H.[Gan-How],
Automated Entry System for Chinese Printed Documents,
IVC(13), No. 10, December 1995, pp. 745-754.
Elsevier DOI BibRef 9512

Chang, C.H.,
Simulated Annealing Clustering of Chinese Words for Contextual Text Recognition,
PRL(17), No. 1, January 10 1996, pp. 57-66. BibRef 9601

Huang, J.S.[Jun S.], Chung, M.L.[Ma-Lung],
Separating Similar Complex Chinese Characters By Walsh Transform,
PR(20), No. 4, 1987, pp. 425-428.
Elsevier DOI BibRef 8700

Lee, H.J.[Hsi-Jian], Tseng, Y.H.[Yi-Hong],
Interfered-Character Recognition by Removing Interfering-Lines and Adjusting Feature Weights,
ICPR98(Vol II: 1865-1867).
IEEE DOI 9808
BibRef

Chen, L.H.[Liang-Hua], Wang, J.Y.[Jiing-Yuh], Liao, H.Y.[Hong-Yuan], Fan, K.C.[Kuo-Chin],
A Robust Algorithm for Separation of Chinese Characters from Line-Drawings,
IVC(14), No. 10, December 1996, pp. 753-761.
Elsevier DOI 9612
BibRef

Chen, L.H.[Ling-Hwei], Lee, Y.K.[Yeuan-Kuen],
A new approach for recognition multifont Chinese characters used in a special application,
ICPR92(II:479-482).
IEEE DOI 9208
BibRef

Chou, K.S.[Kuo-Sen], Fan, K.C.[Kuo-Chin], Fan, T.I.[Tzu-I],
Peripheral and Global Features for Use in Coarse Classification of Chinese Characters,
PR(30), No. 3, March 1997, pp. 483-489.
Elsevier DOI 9705
BibRef

Zhu, J.S.[Ja-Son], Hong, T.[Tao], Hull, J.J.[Jonathan J.],
Image-Based Keyword Recognition in Oriental Language Document Images,
PR(30), No. 8, August 1997, pp. 1293-1300.
Elsevier DOI 9708
BibRef
Earlier: A1, A3, Only:
Image-based word recognition in oriental language document images,
ICPR94(B:300-304).
IEEE DOI 9410
BibRef

Romero, R.D.[Richard D.], Touretsky, D.S.[Dave S.], Thibadeau, R.H.[Robert H.],
Optical Chinese Character-Recognition Using Probabilistic Neural Networks,
PR(30), No. 8, August 1997, pp. 1279-1292.
Elsevier DOI 9708
BibRef

Romero, R.D.[Richard D.], Berger, R.[Robert], Thibadeau, R.H.[Robert H.], and Touretsky, D.S.[Dave S.],
Neural Network Classifiers for Optical Chinese Character Recognition,
CMU-CS-TR1996.
HTML Version. BibRef 9600

Lee, H.J.[Hsi-Jian], Tung, C.H.[Cheng-Huang],
A Language Model-Based on Semantically Clustered Words in a Chinese Character-Recognition System,
PR(30), No. 8, August 1997, pp. 1339-1346.
Elsevier DOI 9708
BibRef

Srihari, S.N.[Sargur N.], Hong, T.[Tao], Srikantan, G.[Geetha],
Machine-Printed Japanese Document Recognition,
PR(30), No. 8, August 1997, pp. 1301-1313.
Elsevier DOI 9708
BibRef

Srihari, S.N.[Sargur N.], Srikantan, G.[Geetha], Hong, T.[Tao], Grom, B.[Brian],
A General-Purpose Japanese Optical Character Recognition System,
SDAIR96(XX) State University of New York at Buffalo, Center of Excellence for Document Analysis and Recognition. BibRef 9600

Yang, Y.Y.,
Adaptive Recognition Of Chinese Characters: Imitation of Psychological Process in Machine Recognition,
SMC-A(28), No. 3, May 1998, pp. 253-265.
IEEE Top Reference. 9805
BibRef

Suen, C.Y., Mori, S., Rim, H.C., Wang, P.S.P.,
Intriguing Aspects of Oriental Languages,
PRAI(12), No. 1, February 1998, pp. 5-29. 9806
BibRef

Tseng, Y.H., Kuo, C.C., Lee, H.J.,
Typeface Identification for Printed Chinese Characters,
PRAI(12), No. 2, March 1998, pp. 173-190. 9806
BibRef

Park, H.S., Song, H.H., Lee, S.W.,
A Self Organizing Hierarchical Classifier for Multilingual Large Set Oriental Character Recognition,
PRAI(12), No. 2, March 1998, pp. 191-208. 9806
BibRef

Yuen, P.C., Feng, G.C., Tang, Y.Y.,
Printed Chinese Character Similarity Measurement Using Ring Projection and Distance Transform,
PRAI(12), No. 2, March 1998, pp. 209-221. 9806
BibRef

Huang, Y.S., Liu, K., Suen, C.Y., Tang, Y.Y.,
A Reliability Design Methodology for Chinese Character Recognition,
PRAI(12), No. 2, March 1998, pp. 159-172. 9806
BibRef

King, C.F.[Chi-Faang], Fan, K.C.[Kuo-Chin], Han, C.C.[Chin-Chuan],
Reading Order of Chinese Newspaper Articles Using a Block Growing Method,
IVC(16), No. 8, June 1998, pp. 571-583.
Elsevier DOI 9807
BibRef

Lin, X.F.[Xiao-Fan], Ding, X.Q.[Xiao-Qing], Chen, M.[Ming], Zhang, R.[Rui], Wu, Y.S.[You-Shou],
Adaptive Confidence Transform Based Classifier Combination for Chinese Character Recognition,
PRL(19), No. 10, 31 August 1998, pp. 975-988. BibRef 9808

Tseng, Y.H.[Yi-Hong], Kuo, C.C.[Chi-Chang], Lee, H.J.[Hsi-Jian],
Speeding up chinese character recognition in an automatic document reading system,
PR(31), No. 11, November 1998, pp. 1601-1612.
Elsevier DOI BibRef 9811
Earlier: ICDAR97(629-632).
IEEE DOI 9708
Candidate-cluster selection and branch and bound searching. BibRef

Li, F.[Feng], Woo, P.Y.[Peng-Yung],
Computer recognition of Jia Gu Wen characters,
IJIST(10), No. 4, 1999, pp. 363-367. BibRef 9900

Omachi, S.[Shin'ichiro], Sun, F.[Fang], Aso, H.[Hirotomo],
A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine Printed Kanji Recognition,
PAMI(22), No. 3, March 2000, pp. 314-319.
IEEE DOI 0005

See also Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance. BibRef

Sun, F.[Fang], Omachi, S.[Shin'ichiro], Aso, H.[Hirotomo],
An Algorithm for Constructing a Multi-Template Dictionary for Character Recognition Considering Distribution of Feature Vectors,
ICPR98(Vol II: 1114-1116).
IEEE DOI 9808
BibRef

Omachi, S.[Shin'ichiro], Sun, F.[Fang], and Aso, H.[Hirotomo],
Precise Recognition of Blurred Chinese Characters by Considering Change in Distribution,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Yang, T.N.[Tai-Ning], Wang, S.D.[Sheng-De],
A rotation invariant printed Chinese character recognition system,
PRL(22), No. 2, February 2001, pp. 85-95.
Elsevier DOI 0101
BibRef

Lin, C.F.[Chi-Fang], Fang, Y.F.[Yu-Fan], Juang, Y.T.[Yau-Tarng],
Chinese text distinction and font identification by recognizing most frequently used characters,
IVC(19), No. 6, April 2001, pp. 329-338.
Elsevier DOI 0105
BibRef

Hsieh, S.L.[Shang-Lin], Parng, T.M.[Tai-Ming],
A new scheme for rectifying recognition results of printed Chinese characters,
PR(34), No. 11, November 2001, pp. 2121-2132.
Elsevier DOI 0108
Correct one is not in the list of likely ones. BibRef

Chan, K.H.[Khue Hiang],
An off-line oriental character recognition system (OOCRS): synergy of distortion modeling, hidden Markov models and vector quantization,
PR(35), No. 5, May 2002, pp. 1007-1023.
Elsevier DOI 0202
Deal with stroke variety. BibRef

Hung, K.Y., Luk, R.W.P., Yeung, D.S., Chung, K.F.L., Shu, W.,
A multiple classifier approach to detect Chinese character recognition errors,
PR(38), No. 5, May 2005, pp. 723-738.
Elsevier DOI 0501
Detect that there is an error. BibRef

Yang, Z.H.[Zhi-Hua], Yang, L.H.[Li-Hua], Qi, D.X.[Dong-Xu], Suen, C.Y.[Ching Y.],
An EMD-based recognition method for Chinese fonts and styles,
PRL(27), No. 14, 15 October 2006, pp. 1692-1701.
Elsevier DOI 0609
Empirical mode decomposition (EMD); Hilbert-Huang transform (HHT); Font recognition; Chinese BibRef

Wang, Y.Q.[Yong-Qiang], Huo, Q.A.[Qi-Ang],
Building compact recognizers of handwritten Chinese characters using precision constrained Gaussian model, minimum classification error training and parameter compression,
IJDAR(14), No. 3, September 2011, pp. 255-262.
WWW Link. 1109
BibRef
Earlier:
A Study of Designing Compact Recognizers of Handwritten Chinese Characters Using Multiple-Prototype Based Classifiers,
ICPR10(1872-1875).
IEEE DOI 1008
BibRef
Earlier:
Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression,
ICDAR09(36-40).
IEEE DOI 0907
BibRef

Du, J.[Jun], Huo, Q.A.[Qi-Ang],
A discriminative linear regression approach to adaptation of multi-prototype based classifiers and its applications for Chinese OCR,
PR(46), No. 8, August 2013, pp. 2313-2322.
Elsevier DOI 1304
BibRef
Earlier:
A discriminative linear regression approach to OCR adaptation,
ICPR12(629-632).
WWW Link. 1302
Discriminative linear regression; Sample separation margin; Minimum classification error; Rprop; Adaptation; OCR BibRef

Tao, D., Lin, X., Jin, L., Li, X.,
Principal Component 2-D Long Short-Term Memory for Font Recognition on Single Chinese Characters,
Cyber(46), No. 3, March 2016, pp. 756-765.
IEEE DOI 1602
Accuracy BibRef

Wei, X.H.[Xiao-Hua], Lu, S.J.[Shu-Jing], Wen, Y.[Ying], Lu, Y.[Yue],
Recognition of handwritten Chinese address with writing variations,
PRL(73), No. 1, 2016, pp. 68-75.
Elsevier DOI 1604
BibRef

Wei, X.H.[Xiao-Hua], Lu, S.J.[Shu-Jing], Lu, Y.[Yue],
Compact MQDF classifiers using sparse coding for handwritten Chinese character recognition,
PR(76), No. 1, 2018, pp. 679-690.
Elsevier DOI 1801
BibRef
Earlier: A2, A1, A3:
Cost-sensitive MQDF classifier for handwritten Chinese address recognition,
ICDAR15(76-80)
IEEE DOI 1511
BibRef
Earlier: A2, A1, A3:
Cost-Sensitive Transformation for Chinese Address Recognition,
ICPR14(2897-2902)
IEEE DOI 1412
MQDF: Modified Quadratic Discriminant Function. Word-level-tree. Character recognition Sparse coding BibRef

Chen, S.C.[Sheng-Chang], Lu, S.J.[Shu-Jing], Wen, Y.[Ying], Lu, Y.[Yue],
Using multiple sequence alignment and statistical language model to integrate multiple Chinese address recognition outputs,
ICDAR15(151-155)
IEEE DOI 1511
minimum edit distance BibRef

Yan, L., Bai, B., Chen, W., Wu, D.O.,
New Word Extraction From Chinese Financial Documents,
SPLetters(24), No. 6, June 2017, pp. 770-773.
IEEE DOI 1705
Context, Feature extraction, Filtration, Industries, Reliability, Support vector machines, Training, Chinese new word extraction, iterative algorithm, natural language processing, static/dynamic features, support, vector, machine BibRef

Huang, S.P.[Shuang-Ping], Zhong, Z.Y.[Zhuo-Yao], Jin, L.W.[Lian-Wen], Zhang, S.[Shuye], Wang, H.B.[Hao-Bin],
DropRegion training of inception font network for high-performance Chinese font recognition,
PR(77), 2018, pp. 395-411.
Elsevier DOI 1802
Chinese font recognition, DropRegion, Elastic meshing technique, Inception font network (IFN), Text block-based font recognition BibRef

Wang, S.[Shu], Zhang, X.Y.[Xue-Ying], Ye, P.[Peng], Du, M.[Mi],
Deep Belief Networks Based Toponym Recognition for Chinese Text,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Ly, N.T.[Nam Tuan], Nguyen, K.C.[Kha Cong], Nguyen, C.T.[Cuong Tuan], Nakagawa, M.[Masaki],
Recognition of Anomalously Deformed Kana Sequences in Japanese Historical Documents,
IEICE(E102-D), No. 8, August 2019, pp. 1554-1564.
WWW Link. 1908
BibRef

Chen, J.[Jiefu], Ji, Y.L.[Yan-Li], Chen, H.[Hua], Xu, X.[Xing],
Learning one-to-many stylised Chinese character transformation and generation by generative adversarial networks,
IET-IPR(13), No. 14, 12 December 2019, pp. 2680-2686.
DOI Link 1912
BibRef

Wu, S.H.[Si-Hang], Wang, J.P.[Jia-Peng], Ma, W.H.[Wei-Hong], Jin, L.W.[Lian-Wen],
Precise detection of Chinese characters in historical documents with deep reinforcement learning,
PR(107), 2020, pp. 107503.
Elsevier DOI 2008
Deep reinforcement learning, Historical documents, Character detection, Reward function BibRef

Wu, X.P.[Xiang-Ping], Chen, Q.C.[Qing-Cai], Xiao, Y.[Yulun], Li, W.[Wei], Liu, X.[Xin], Hu, B.T.[Bao-Tian],
LCSegNet: An Efficient Semantic Segmentation Network for Large-Scale Complex Chinese Character Recognition,
MultMed(23), 2021, pp. 3427-3440.
IEEE DOI 2109
Character recognition, Feature extraction, Image segmentation, Semantics, Task analysis, Encoding, Text recognition, semantic segmentation BibRef

Horie, F.[Fuma], Goto, H.[Hideaki], Suganuma, T.[Takuo],
Synthetic Scene Character Generator and Ensemble Scheme with the Random Image Feature Method for Japanese and Chinese Scene Character Recognition,
IEICE(E104-D), No. 11, November 2021, pp. 2002-2010.
WWW Link. 2112
BibRef
Earlier: A1, A2, Only:
Synthetic Scene Character Generator and Multi-Scale Voting Classifier for Japanese Scene Character Recognition,
IVCNZ18(1-6)
IEEE DOI 1902
Character recognition, Training, Generators, Training data, Image color analysis, Distortion, Morphology, scene character dataset BibRef

Jiang, L., Goto, H.,
Ensemble classifier with dividing training scheme for Chinese scene character recognition,
IVCNZ17(1-5)
IEEE DOI 1902
feature extraction, image classification, learning (artificial intelligence), support vector machines, ensemble voting classifier BibRef

Huang, G.J.[Guan-Jie], Luo, X.Y.[Xiang-Yu], Wang, S.[Shaowei], Gu, T.L.[Tian-Long], Su, K.[Kaile],
Hippocampus-heuristic character recognition network for zero-shot learning in Chinese character recognition,
PR(130), 2022, pp. 108818.
Elsevier DOI 2206
Chinese character recognition, Hippocampus thinking, Radical analysis, Zero-shot learning, Label embedding BibRef

Xue, M.[Mobai], Du, J.[Jun], Wang, B.[Bin], Ren, B.[Bo], Hu, Y.[Yu],
Joint optimization for attention-based generation and recognition of chinese characters using tree position embedding,
PR(140), 2023, pp. 109538.
Elsevier DOI 2305
Chinese character generation and recognition, Radical analysis, Joint optimization, Tree position embedding BibRef

Li, Z.Y.[Zi-Yan], Huang, Y.H.[Yu-Hao], Peng, D.[Dezhi], He, M.[Mengchao], Jin, L.W.[Lian-Wen],
SideNet: Learning representations from interactive side information for zero-shot Chinese character recognition,
PR(148), 2024, pp. 110208.
Elsevier DOI 2402
Optical character recognition, Chinese character recognition, Zero shot learning, Open set recognition BibRef


Yu, H.Y.[Hai-Yang], Wang, X.[Xiaocong], Li, B.[Bin], Xue, X.Y.[Xiang-Yang],
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning,
ICCV23(11909-11918)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, S.[Shuo], Liu, X.[Xiyan], Meng, G.F.[Gao-Feng], Xiang, S.M.[Shi-Ming], Pan, C.[Chunhong],
Components Regulated Generation of Handwritten Chinese Text-lines in Arbitrary Length,
ICPR22(1378-1385)
IEEE DOI 2212
Couplings, Adaptation models, Correlation, Text recognition, Image synthesis BibRef

Hoang, H.T.[Huu-Tin], Peng, C.J.[Chun-Jen], Tran, H.V.[Hung Vinh], Le, H.[Hung], Nguyen, H.H.[Huy Hoang],
LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition,
ICPR21(4813-4820)
IEEE DOI 2105
Training, Deep learning, Handwriting recognition, Systematics, Text recognition, Semantics, Encoding BibRef

Tang, X.Z.[Xun-Zhu], Zhu, R.J.[Ru-Jie], Sun, T.Z.[Tie-Zhu], Wang, S.[Shi],
Moto: Enhancing Embedding with Multiple Joint Factors for Chinese Text Classification,
ICPR21(2882-2888)
IEEE DOI 2105
Fuses, Text categorization, Semantics, Pattern recognition, Task analysis BibRef

Tang, X.Z.[Xun-Zhu], Sun, T.Z.[Tie-Zhu], Zhu, R.J.[Ru-Jie], Wang, S.[Shi],
CKG: Dynamic Representation Based on Context and Knowledge Graph,
ICPR21(2889-2895)
IEEE DOI 2105
Semantics, Data mining, Task analysis, Context modeling BibRef

Han, W.H.[Wen-Hui], Ren, X.[Xinlin], Lin, H.Y.[Hang-Yu], Fu, Y.W.[Yan-Wei], Xue, X.Y.[Xiang-Yang],
Self-supervised Learning of Orc-Bert Augmentor for Recognizing Few-shot Oracle Characters,
ACCV20(VI:652-668).
Springer DOI 2103
Oracle character, the earliest known hieroglyphs in China. BibRef

Bi, X., Liu, X.,
Chinese Character Captcha Sequential Selection System Based on Convolutional Neural Network,
CVIDL20(554-559)
IEEE DOI 2102
convolutional neural nets, feature extraction, handwritten character recognition, natural language processing, word order recovery BibRef

Song, J.[Jiayu], Xu, Q.H.[Qing-Hua], Liu, W.[Wei], Zu, Y.[Yueran], Chen, M.[Mengdong],
Semantic and Morphological Information Guided Chinese Text Classification,
MMMod20(II:14-26).
Springer DOI 2003
BibRef

Chen, K., Lin, G., Lin, C., Guo, J.,
Recognizing Chinese Texts with 3D Convolutional Neural Network,
ICIP19(2120-2123)
IEEE DOI 1910
3D CNNs, Road marks detection, Chinese texts recognition BibRef

Meng, L.[Lin], Aravinda, C.V., Reddy, K.R.U.K.[K. R. Uday Kumar], Izumi, T.[Tomonori], Yamazaki, K.[Katsuhiro],
Ancient Asian Character Recognition for Literature Preservation and Understanding,
EuroMed18(I:741-751).
Springer DOI 1811
BibRef

Chang, B., Zhang, Q., Pan, S., Meng, L.,
Generating Handwritten Chinese Characters Using CycleGAN,
WACV18(199-207)
IEEE DOI 1806
handwritten character recognition, learning (artificial intelligence), Training data BibRef

Liu, S.F.[Shu-Feng], Shen, S.H.[Shao-Hong], Sun, Z.Y.[Zhi-Yuan],
Research on Chinese characters recognition in complex background images,
ICIVC17(214-217)
IEEE DOI 1708
Character recognition, Clustering algorithms, Eigenvalues and eigenfunctions, Feature extraction, Gabor filters, Image edge detection, Standards, character recognition, classification, feature, extraction BibRef

Odate, R.[Ryosuke], Goto, H.[Hideaki],
Highly-accurate fast candidate reduction method for Japanese/Chinese character recognition,
ICIP16(2886-2890)
IEEE DOI 1610
BibRef
Earlier:
Fast and accurate candidate reduction using the multiclass LDA for Japanese/Chinese character recognition,
ICIP15(951-955)
IEEE DOI 1511
Approximate Nearest Neighbor (ANN) search BibRef

Song, W.[Weikang], Lian, Z.H.[Zhou-Hui], Tang, Y.M.[Ying-Min], Xiao, J.G.[Jian-Guo],
Content-independent font recognition on a single Chinese character using sparse representation,
ICDAR15(376-380)
IEEE DOI 1511
BibRef

Liu, C.D.[Cheng-Dong], Lian, Z.H.[Zhou-Hui], Tang, Y.M.[Ying-Min], Xiao, J.G.[Jian-Guo],
Structure-Aware Image Resizing for Chinese Characters,
MMMod17(I: 379-390).
Springer DOI 1701
BibRef

Sun, H.[Hao], Lian, Z.H.[Zhou-Hui], Tang, Y.M.[Ying-Min], Xiao, J.G.[Jian-Guo],
Non-rigid point set registration for Chinese characters using structure-guided coherent point drift,
ICIP14(4752-4756)
IEEE DOI 1502
Accuracy BibRef

Hao, S.D.[Shu-Dong], Xu, Y.Y.[Yan-Yan], Peng, H.L.[Heng-Li], Su, K.L.[Kai-Le], Ke, D.F.[Deng-Feng],
Automated Chinese Essay Scoring from Topic Perspective Using Regularized Latent Semantic Indexing,
ICPR14(3092-3097)
IEEE DOI 1412
Equations BibRef

Luo, X.[Xi], Ohyama, W., Wakabayashi, T., Kimura, F.,
Automatic Chinese Text Classification Using Character-Based and Word-Based Approach,
ICDAR13(329-333)
IEEE DOI 1312
document image processing BibRef

Abe, Y.C.[Yui-Chi], Sasaki, T.[Takahiro], Goto, H.[Hideaki],
Fast and Accurate Tree-Based Clustering for Japanese/Chinese Character Recognition,
CIAP13(II:459-468).
Springer DOI 1309
BibRef

Sobu, Y., Goto, H., Aso, H.,
Binary tree-based precision-keeping clustering for very fast Japanese character recognition,
IVCNZ10(1-6).
IEEE DOI 1203
BibRef

Liu, J.[Jie], Zhang, S.[Shuwu], Li, H.P.[He-Ping], Liang, W.[Wei],
A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images,
ICDAR11(1044-1048).
IEEE DOI 1111
BibRef

Zhang, B.[Bing], Li, Y.[Ying], Suen, C.Y.[Ching Y.], Zhang, X.M.[Xue-Min],
Discovering Legible Chinese Typefaces for Reading Digital Documents,
ICDAR11(962-966).
IEEE DOI 1111
BibRef

Zhang, S.L.[Shi-Lei], Shuang, Z.W.[Zhi-Wei], Qin, Y.[Yong],
Automatic Pronunciation Transliteration for Chinese-English Mixed Language Keyword Spotting,
ICPR10(1610-1613).
IEEE DOI 1008
BibRef

Koga, M., Mine, R., Kameyama, T., Takahashi, T., Yamazaki, M., Yamaguchi, T.,
Camera-based Kanji OCR for mobile-phones: practical issues,
ICDAR05(II: 635-639).
IEEE DOI 0508
BibRef

Kusachi, Y., Suzuki, A., Ito, N., Arakawa, K.,
Kanji recognition in scene images without detection of text fields: robust against variation of viewpoint, contrast, and background texture,
ICPR04(I: 457-460).
IEEE DOI 0409
BibRef

Huo, Q.A.[Qi-Ang], Feng, Z.D.[Zhi-Dan],
Improving Chinese/English OCR performance by using MCE-based character-pair modeling and negative training,
ICDAR03(364-368).
IEEE DOI 0311
BibRef

Velek, O.[Ondrej], Nakagawa, M.[Masaki],
The Impact of Large Training Sets on the Recognition Rate of Offline Japanese Kanji Character Classifiers,
DAS02(106 ff.).
Springer DOI 0303
BibRef

Liao, S.[Simon], Chiang, A., Lu, Q.[Qin], Pawlak, M.[Miroslaw],
Chinese character recognition via Gegenbauer moments,
ICPR02(III: 485-488).
IEEE DOI 0211
BibRef

Lu, Y.[Yue], Tan, C.L.[Chew Lim],
Word spotting in chinese document images without layout analysis,
ICPR02(III: 57-60).
IEEE DOI 0211
BibRef

Wu, X.L.[Xian-Li], Wu, M.[Min],
A recognition algorithm for chinese characters in diverse fonts,
ICIP02(III: 981-984).
IEEE DOI 0210
BibRef

Wang, Y.K., Fan, K.C., Juang, Y., Chen, T.,
Using Hidden Markov Model for Chinese Business Card Recognition,
ICIP01(I: 1106-1109).
IEEE DOI 0108
BibRef

Watanabe, Y.[Yasuhiko], Okada, Y.[Yoshihiro], Kim, Y.B.[Yeun-Bae], Takeda, T.[Tetsuya],
Translation Camera,
ICPR98(Vol I: 613-617).
IEEE DOI 9808
BibRef

Yamada, K.,
Non-Uniformly Sampled Feature Extraction Method for Kanji Character Recognition,
ICDAR97(200-205).
IEEE DOI 9708
BibRef

Pan, W.[Wumo], Jin, J.M.[Jian-Ming], Shi, G.S.[Guang-Shun], Wang, Q.R.,
A system for automatic Chinese business card recognition,
ICDAR01(577-581).
IEEE DOI 0109
BibRef

Chiou, Y.H., Lee, H.J.,
Recognition of Chinese Business Cards,
ICDAR97(1028-1032).
IEEE DOI 9708
BibRef

Liao, S.X., Lu, Q.,
A Study Of Moment Functions and Its Use in Chinese Character Recognition,
ICDAR97(572-575).
IEEE DOI 9708
BibRef

Caesar, T.,
New Features for Chinese Character Recognition,
ICDAR97(592-595).
IEEE DOI 9708
BibRef

Keeni, K., Shimodaira, H., Nakayama, K.,
On Distributed Representation of Output Layer for Recognizing Japanese Kana Characters Using Neural Networks,
ICDAR97(600-603).
IEEE DOI 9708
BibRef

Chou, T.R., Chang, F.,
Optical Chinese Character Recognition for Low-Quality Document Images,
ICDAR97(608-611).
IEEE DOI 9708
BibRef

Kazunori, M.[Muraki],
Error Correction Scheme Augumented with Statistical and Lexical Learning Capability for Japanese OCR,
ICPR96(IV: 560-564).
IEEE DOI 9608
(NEC Corporation, J) BibRef

Jiang, J.X.[Jian-Xin], Hu, Z.[Zheng],
Application of neural network and fuzzy inference to Chinese-Phoneme recognition,
ICPR92(II:426-429).
IEEE DOI 9208
BibRef

Zhang, S., Taconet, B., Faure, A.,
A complexity measure based algorithm for multifont Chinese character recognition,
ICPR90(I: 573-577).
IEEE DOI 9006
BibRef

Banno, K., Kawamata, T., Kobayashi, K., Nambu, H.,
Text Recognition System for Japanese Documents,
ICPR88(I: 176-180).
IEEE DOI BibRef 8800

Wang, K., Tang, Y.Y., Suen, C.Y.,
Multi-Layer Projections for the Classification of Similar Chinese Characters,
ICPR88(II: 842-844).
IEEE DOI BibRef 8800

Shu, W., Cui, G.W., Zhao, R.H.,
An Accurate Method for Recognition of Printed Chinese Characters,
ICPR88(II: 908-910).
IEEE DOI BibRef 8800

Dong, H., Wu, Y., Ding, X.,
An ARG Representation for Chinese Characters and a Radical Extraction Based on the Representation,
ICPR88(II: 920-922).
IEEE DOI BibRef 8800

Kise, K., Yamada, K., Tanaka, N., Babaguchi, N., Tezuka, Y.,
Visiting Card Understanding System,
ICPR88(I: 425-429).
IEEE DOI BibRef 8800

Tsukumo, J., Asai, K.,
Machine Printed Chinese and Japanese Character Recognition Method and Experiments for Reading Japanese Pocket Books,
CVPR86(162-167). BibRef 8600

Guo, C., Xuan, G.,
Automatic Recognition of Printed Chinese Characters by Four Corner Codes,
ICPR86(1013-1015). BibRef 8600

Leung, C.H.,
A Practical Basis Set for Chinese Character Recognition,
CVPR85(532-537). BibRef 8500

Ma, Y.L., Jour, J.S.,
New Probabilistic Model For Chinese Character Recognition,
ICPR84(370-373). BibRef 8400

Tai, J.W.,
A Syntactic-Semantic Approach For Chinese Character Recognition,
ICPR84(374-376). BibRef 8400

Liu, Y., Kasvand, T.,
A New Approach to Machine Recognition of Chinese Characters,
ICPR84(381-384). BibRef 8400

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Chinese Characters, Review, Survey, Evaluations .


Last update:Mar 16, 2024 at 20:36:19