摘要
对自然手写体汉字联机识别系统中笔画和字根提取问题作了深入研究 ,提出并改进了有关策略和算法实现。经深入分析和测试结果表明 ,由于充分考虑了自然手写体汉字的书写习惯和结构特征 。
The problems of stroke extraction and character root recognition were studied, and the strategies and the algorithms related to the problems were proposed or developed. Based on observing and studying on the writing styles and the composition features of free handwritten Chinese characters, the strategies and the algorithms, which have been showed by experimental results, have the advantages of high degree of steadiness and tolerance to character variance.
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
2000年第5期104-107,共4页
Journal of Chongqing University
关键词
联机识别
汉字识别
字根识别
笔画分类
手写体
on line recognition
Chinese character recognition
root recognition
stroke classification