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Off-line handwritten Chinese character recognition with nonlinear pre-classification
Zen, LX; Dai, RW; Tan, T; Shi, YC; Gao, W
Source PublicationADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS
2000
Volume1948Pages:473-479
SubtypeArticle
AbstractIn this paper, we describe a new Chinese character recognition system, in which neural networks are employed as a nonlinear pre-classifier to pre-classify similar Chinese characters, and an algorithm of clustering called Association Class Grouping algorithm (ACG) is hired to cluster similar Chinese characters. In our system, feature of contour direction is extracted to form a Bayesian classifier. Experiments have been conducted to recognize 3,755 Chinese Characters. The recognition rate is about 92%.
KeywordChinese Character Recognition Association Class Grouping Neural Network Feature Of Contour Direction Bayesian Classifier
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS IDWOS:000174117200062
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9797
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, AI Lab, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Zen, LX,Dai, RW,Tan, T,et al. Off-line handwritten Chinese character recognition with nonlinear pre-classification[J]. ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS,2000,1948:473-479.
APA Zen, LX,Dai, RW,Tan, T,Shi, YC,&Gao, W.(2000).Off-line handwritten Chinese character recognition with nonlinear pre-classification.ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS,1948,473-479.
MLA Zen, LX,et al."Off-line handwritten Chinese character recognition with nonlinear pre-classification".ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS 1948(2000):473-479.
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