CASIA OpenIR  > 09年以前成果
High accuracy handwritten Chinese character recognition using LDA-based compound distances
Gao, Tian-Fu; Liu, Cheng-Lin
Source PublicationPATTERN RECOGNITION
2008-11-01
Volume41Issue:11Pages:3442-3451
SubtypeArticle
AbstractTo improve the accuracy of handwritten Chinese character recognition (HCCR), we propose linear discriminant analysis (LDA)-based compound distances for discriminating similar characters. The LDA-based method is an extension of previous compound Mahalanobis function (CMF), which calculates a complementary distance on a one-dimensional subspace (discriminant vector) for discriminating two classes and combines this complementary distance with a baseline quadratic classifier. We use LDA to estimate the discriminant vector for better discriminability and show that under restrictive assumptions, the CMF is a special case of our LDA-based method. Further improvements can be obtained when the discriminant vector is estimated from higher-dimensional feature spaces. We evaluated the methods in experiments on the ETL9B and CAS1A databases using the modified quadratic discriminant function (MQDF) as baseline classifier. The results demonstrate the superiority of LDA-based method over the CMF and the superiority of discriminant vector learning from high-dimensional feature spaces. Compared to the MQDF, the proposed method reduces the error rates by factors of over 26%. (C) 2008 Elsevier Ltd. All rights reserved.
KeywordHandwritten Chinese Character Recognition Lda Compound Distance Compound Mahalanobis Function
WOS HeadingsScience & Technology ; Technology
WOS KeywordFEATURE-EXTRACTION
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000258817800015
Citation statistics
Cited Times:29[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9645
Collection09年以前成果
AffiliationChinese Acad Sci, NLPR, Inst Automat, Beijing 100190, PR, Peoples R China
Recommended Citation
GB/T 7714
Gao, Tian-Fu,Liu, Cheng-Lin. High accuracy handwritten Chinese character recognition using LDA-based compound distances[J]. PATTERN RECOGNITION,2008,41(11):3442-3451.
APA Gao, Tian-Fu,&Liu, Cheng-Lin.(2008).High accuracy handwritten Chinese character recognition using LDA-based compound distances.PATTERN RECOGNITION,41(11),3442-3451.
MLA Gao, Tian-Fu,et al."High accuracy handwritten Chinese character recognition using LDA-based compound distances".PATTERN RECOGNITION 41.11(2008):3442-3451.
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