摘要: 目前脱机手写体汉字识别技术的细识别采用的方法有很多,如重心模糊网格法、势场特征提取法等,但每一种方法都有不足之处,不能达到很好的效果,该文提出一种不细化抽取笔划无法及综合3种识别方法的集成方案,使识别率有了很大的提高。
关键词:
脱机手写体汉字识别,
细识别,
综合集成
Abstract: There are many fine recognition algorithms such as weight fuzzy mesh algorithm,field features extracting algorithm in off-line handwritten Chinese character recognition.bllt none of them is very well for recognizing.Authors suggest one algorithm which is nonlinear extract i'tTOkes primitives algorithm and integrates three algorithms,which increases the recognition rate.
中图分类号:
杨艳,方应谦,韦大伟,张红旗. 基于细识别的脱机手写体汉字识别的集成[J]. , 2000, 26(01): 6-.
Yang Yan, Fang Yingqian, Wei Dawei, Zhang Hongqi. Integration of Fine Recognition in Off-line Handwritten Chinese Character Recognition[J]. , 2000, 26(01): 6-.