A Partial Area Matching Method Based on Support Vector Machine for Distinguishing Similar On-Line Handwritten Chinese Characters

摘要：

In this paper, a new partial area matching method based on Support Vector Machine (SVM) for distinguishing similar on-line handwritten Chinese characters is presented. With this new method, the similar characters are divided into several classes according to the difference among their structure features. After the candidate character set is obtained by the former recognizing steps, the SVM is used to pick up the most accurately matched character from the set. Experiments showed that the similar Chinese characters can be distinguished effectively and the recognition rate for the first rank Chinese characters can be improved with this method.

关键词： Support Vector Machine (SVM) Partial Area Matching Similar Characters Recognition

作者: Xinqiao Lu Ping Li Guoqiang Xiao Renchao Jin Enming Song Xiaojuan Liu Qiaoling Luo

作者单位: School of Computer Science and Technology HuaZhong University of Science and Technology Wuhan,China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1984-1987

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）