中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。