摘要
提出联机识别自然手写汉字的FS识别法。在剖析五笔字根结构和编码原则基础上 ,对五笔字根作适应性改造 ,将键盘输入技术与联机识别技术有机融合的一种识别体系。在多库识别体系中首次采用层间分级技术。分析和实验表明 :充分考虑了自然手写汉字书写习惯和结构特征 ,系统有较高稳定性。
In this paper, keyboard input techniques are introduced into online recognition of Chinese character based on the studying of Five-Strokes Code and a new approach for unconstrained handwritten Chinese character online recognition—FS recognition method is proposed. Besides, the character-root set have to be altered slightly to meet the recognition features.The results of preliminary experiments show that the system has advantages of high degree of steadiness and tolerance to strokes variance.
出处
《计算机应用》
CSCD
北大核心
2001年第1期46-48,共3页
journal of Computer Applications
关键词
模式识别
联机识别
汉字识别
识别方法
自然手写汉字
pattern recognition
on-line recognition
chinese characters recognition
recognition method
