基于模糊子笔画统计特征的手写体汉字识别  

Handwritten chinese character recognition based on fuzzy sub-stroke statistical feature

作　　者：刘伟[1] 朱宁波[1] 李德鑫[1] 何浩智[1] 谭论证 

机构地区：[1]湖南大学计算机与通信学院,长沙410082

出　　处：《计算机工程与应用》2007年第1期239-241,244,共4页Computer Engineering and Applications

摘　　要：汉字由笔画或子笔画组成,笔画或子笔画特征在手写体汉字识别中得到了广泛应用。论文提出一种模糊子笔画抽取方法,解决了因无限制手写体笔画随意性而使得抽取的子笔画不稳定的问题。计算字符边缘点“横”、“竖”、“撇”、“捺”的模糊子笔画属性特征,并将其与模糊网格相结合,生成模糊子笔画统计特征。银行支票手写体汉字大写金额识别的实验结果表明应用模糊子笔画统计特征能取得更好的识别效果。The Chinese character is made up of strokes or sub-strokes.Stroke or sub-stroke feature is widely used in handwritten Chinese character recognition.A fuzzy sub-stroke extraction method is proposed to resolve the unsteadiness because of the unconstrained written fashion.First calculating the attribution feature of boundary point related to the four fuzzy sub-strokes-- horizontal,vertical,left diagonal and right diagonal,then combing fuzzy mesh with fuzzy sub-stroke attribution feature of boundary points to obtain the fuzzy sub-stroke statistical feature of a Chinese character.Experiments of handwritten legal amount recognition on Chinese check show that the fuzzy sub-stroke statistical feature proposed in this paper is more effective.

关 键 词：手写体汉字识别 模糊子笔画 模糊网格 边缘点 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]