High accuracy handwritten Chinese character recognition using LDA-based compound distances
文献类型:期刊论文
作者 | Gao, Tian-Fu; Liu, Cheng-Lin![]() |
刊名 | PATTERN RECOGNITION
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出版日期 | 2008-11-01 |
卷号 | 41期号:11页码:3442-3451 |
关键词 | handwritten Chinese character recognition LDA compound distance compound Mahalanobis function |
英文摘要 | 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. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
研究领域[WOS] | Computer Science ; Engineering |
关键词[WOS] | FEATURE-EXTRACTION |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000258817800015 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9645] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | Chinese Acad Sci, NLPR, Inst Automat, Beijing 100190, PR, Peoples R China |
推荐引用方式 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. |
入库方式: OAI收割
来源:自动化研究所
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