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High accuracy handwritten Chinese character recognition using LDA-based compound distances
Gao, Tian-Fu; Liu, Cheng-Lin
发表期刊PATTERN RECOGNITION
2008-11-01
卷号41期号:11页码:3442-3451
文章类型Article
摘要To 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.
关键词Handwritten Chinese Character Recognition Lda Compound Distance Compound Mahalanobis Function
WOS标题词Science & Technology ; Technology
关键词[WOS]FEATURE-EXTRACTION
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000258817800015
引用统计
被引频次:37[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9645
专题09年以前成果
作者单位Chinese Acad Sci, NLPR, Inst Automat, Beijing 100190, PR, Peoples R China
第一作者单位模式识别国家重点实验室
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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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