Handwritten Character Recognition Based on 13-point Feature of Skeleton and Self-Organizing Competition Network

摘要：

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.

关键词： ANN 13-point feature of skeleten self-organizing competition network character recognition imageprocessing

作者: Chongliang Zhong Yalin Ding Jinbao Fu

作者单位: Graduate university of Chinese academy of sciences Changchun institute of Optics, Fine Mechanics and Changchun institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun, Ch

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1584-1587

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）