Handwritten character recognition based on 13-point feature of skeleton and self-organizing competition network (EI CONFERENCE)
Zhong C. ; Ding Y. ; Fu J.
2010
会议名称2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010, May 11, 2010 - May 12, 2010
会议地点Changsha, China
关键词This article is about the recognition for handwritten characters. Firstly we use some conventional methods to preprocess the images and introduce the 13-point feature of skeleton method to extract the data that containing feature of the handwritten character. Secondly we use the data to train the self-organizing competition network. In the end we test the net and conclude that this method has a good performance at handwritten character recognition. 2010 IEEE.
页码414-417
收录类别EI
内容类型会议论文
源URL[http://ir.ciomp.ac.cn/handle/181722/33353]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714
Zhong C.,Ding Y.,Fu J.. Handwritten character recognition based on 13-point feature of skeleton and self-organizing competition network (EI CONFERENCE)[C]. 见:2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010, May 11, 2010 - May 12, 2010. Changsha, China.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace