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9811
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Correct one is not in the list of likely ones.
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0202
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0501
Detect that there is an error.
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Yang, Z.H.[Zhi-Hua],
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0609
Empirical mode decomposition (EMD); Hilbert-Huang transform (HHT);
Font recognition; Chinese
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Wang, Y.Q.[Yong-Qiang],
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1109
BibRef
Earlier:
A Study of Designing Compact Recognizers of Handwritten Chinese
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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
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1304
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Earlier:
A discriminative linear regression approach to OCR adaptation,
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WWW Link.
1302
Discriminative linear regression; Sample separation margin; Minimum
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IEEE DOI
1602
Accuracy
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Wei, X.H.[Xiao-Hua],
Lu, S.J.[Shu-Jing],
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Recognition of handwritten Chinese address with writing variations,
PRL(73), No. 1, 2016, pp. 68-75.
Elsevier DOI
1604
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Wei, X.H.[Xiao-Hua],
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Compact MQDF classifiers using sparse coding for handwritten Chinese
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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
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Chen, S.C.[Sheng-Chang],
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Wen, Y.[Ying],
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Using multiple sequence alignment and statistical language model to
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ICDAR15(151-155)
IEEE DOI
1511
minimum edit distance
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Yan, L.,
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Chen, W.,
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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
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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
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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],
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1908
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Chen, J.[Jiefu],
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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
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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.C.[Meng-Chao],
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
Xu, Y.[Yue],
Zhang, X.Y.[Xu-Yao],
Zhang, Z.X.[Zhao-Xiang],
Liu, C.L.[Cheng-Lin],
Large-scale continual learning for ancient Chinese character
recognition,
PR(150), 2024, pp. 110283.
Elsevier DOI
2403
Continual learning, Class-incremental learning,
Convolutional prototype network, Character recognition,
Ancient Chinese characters
BibRef
Yu, M.M.[Ming-Ming],
Zhang, H.[Heng],
Yin, F.[Fei],
Liu, C.L.[Cheng-Lin],
An approach for handwritten Chinese text recognition unifying
character segmentation and recognition,
PR(151), 2024, pp. 110373.
Elsevier DOI
2404
Handwritten Chinese text recognition,
Connectionist temporal classification, Weakly supervised learning
BibRef
Li, S.[Shuo],
Liu, X.[Xiyan],
Meng, G.F.[Gao-Feng],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
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],
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ICIP14(4752-4756)
IEEE DOI
1502
Accuracy
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Hao, S.D.[Shu-Dong],
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Peng, H.L.[Heng-Li],
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Automated Chinese Essay Scoring from Topic Perspective Using
Regularized Latent Semantic Indexing,
ICPR14(3092-3097)
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1412
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Luo, X.[Xi],
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Automatic Chinese Text Classification Using Character-Based and
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ICDAR13(329-333)
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document image processing
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Abe, Y.C.[Yui-Chi],
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Fast and Accurate Tree-Based Clustering for Japanese/Chinese Character
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A Chinese Character Localization Method Based on Intergrating Structure
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ICDAR11(1044-1048).
IEEE DOI
1111
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Zhang, B.[Bing],
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Suen, C.Y.[Ching Y.],
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Discovering Legible Chinese Typefaces for Reading Digital Documents,
ICDAR11(962-966).
IEEE DOI
1111
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Zhang, S.L.[Shi-Lei],
Shuang, Z.W.[Zhi-Wei],
Qin, Y.[Yong],
Automatic Pronunciation Transliteration for Chinese-English Mixed
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ICPR10(1610-1613).
IEEE DOI
1008
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Koga, M.,
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Camera-based Kanji OCR for mobile-phones: practical issues,
ICDAR05(II: 635-639).
IEEE DOI
0508
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Kusachi, Y.,
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Kanji recognition in scene images without detection of text fields:
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ICPR04(I: 457-460).
IEEE DOI
0409
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Huo, Q.A.[Qi-Ang],
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Improving Chinese/English OCR performance by using MCE-based
character-pair modeling and negative training,
ICDAR03(364-368).
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0311
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Velek, O.[Ondrej],
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The Impact of Large Training Sets on the Recognition Rate of Offline
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DAS02(106 ff.).
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0303
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Liao, S.[Simon],
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ICPR02(III: 485-488).
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0211
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Lu, Y.[Yue],
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Word spotting in chinese document images without layout analysis,
ICPR02(III: 57-60).
IEEE DOI
0211
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Wu, X.L.[Xian-Li],
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A recognition algorithm for chinese characters in diverse fonts,
ICIP02(III: 981-984).
IEEE DOI
0210
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Wang, Y.K.,
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Using Hidden Markov Model for Chinese Business Card Recognition,
ICIP01(I: 1106-1109).
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0108
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Watanabe, Y.[Yasuhiko],
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Translation Camera,
ICPR98(Vol I: 613-617).
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9808
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Yamada, K.,
Non-Uniformly Sampled Feature Extraction Method for
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ICDAR97(200-205).
IEEE DOI
9708
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Pan, W.[Wumo],
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A system for automatic Chinese business card recognition,
ICDAR01(577-581).
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0109
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Chiou, Y.H.,
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Recognition of Chinese Business Cards,
ICDAR97(1028-1032).
IEEE DOI
9708
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Liao, S.X.,
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A Study Of Moment Functions and Its Use in
Chinese Character Recognition,
ICDAR97(572-575).
IEEE DOI
9708
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Caesar, T.,
New Features for Chinese Character Recognition,
ICDAR97(592-595).
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9708
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Keeni, K.,
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On Distributed Representation of Output Layer for
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ICDAR97(600-603).
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9708
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Chou, T.R.,
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Optical Chinese Character Recognition for Low-Quality Document Images,
ICDAR97(608-611).
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Kazunori, M.[Muraki],
Error Correction Scheme Augumented with Statistical and
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ICPR96(IV: 560-564).
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9608
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ICPR92(II:426-429).
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9208
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Zhang, S.,
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A complexity measure based algorithm for multifont Chinese character
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ICPR90(I: 573-577).
IEEE DOI
9006
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Banno, K.,
Kawamata, T.,
Kobayashi, K.,
Nambu, H.,
Text Recognition System for Japanese Documents,
ICPR88(I: 176-180).
IEEE DOI
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8800
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Tang, Y.Y.,
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Multi-Layer Projections for the Classification of
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ICPR88(II: 842-844).
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8800
Shu, W.,
Cui, G.W.,
Zhao, R.H.,
An Accurate Method for Recognition of Printed Chinese Characters,
ICPR88(II: 908-910).
IEEE DOI
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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).
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8800
Kise, K.,
Yamada, K.,
Tanaka, N.,
Babaguchi, N.,
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Visiting Card Understanding System,
ICPR88(I: 425-429).
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8800
Tsukumo, J.,
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Machine Printed Chinese and Japanese Character Recognition Method
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CVPR86(162-167).
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8600
Guo, C.,
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Automatic Recognition of Printed Chinese Characters by
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ICPR86(1013-1015).
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8600
Leung, C.H.,
A Practical Basis Set for Chinese Character Recognition,
CVPR85(532-537).
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8500
Ma, Y.L.,
Jour, J.S.,
New Probabilistic Model For Chinese Character Recognition,
ICPR84(370-373).
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8400
Tai, J.W.,
A Syntactic-Semantic Approach For Chinese Character Recognition,
ICPR84(374-376).
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8400
Liu, Y.,
Kasvand, T.,
A New Approach to Machine Recognition of Chinese Characters,
ICPR84(381-384).
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8400
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Chinese Characters, Review, Survey, Evaluations .