基于过程神经网络的手写体汉字识别方法研究  

Research of recognition on handwritten Chinese character based on procedure neural networks

作　　者：王建平[1] 金铁江[1] 邵威[1] 

机构地区：[1]合肥工业大学电气与自动化工程学院,合肥230009

出　　处：《计算机应用》2009年第2期377-380,共4页journal of Computer Applications

摘　　要：分析手写体汉字各类基本笔画间的拓扑关系,将手写体汉字图像转化为具有容错表征方式的多种汉字笔画类型在不同位置组成的几何图形。采用过程神经元网络提取手写体汉字各类型笔形,统计各类型笔形和相交点的数量,从而建立手写体汉字特征知识的数据结构表。对SCUT-IRAC手写体汉字库中汉字进行了实验仿真,该方法大大降低了脱机手写体汉字识别的难度,有较高的汉字识别率。The topological property among stroke segments was analyzed.Image of handwritten Chinese character is transformed to geometric graphics,and the graphics was composed of some styles of Chinese character strokes with fault tolerance in different positions.Procedure neural network was applied to extract complex strokes of handwritten Chinese character.The style,number and number of joint and crossover of complex strokes were accumulated,and a kind of characteristic knowledge data-base table of handwritten Chin...

关 键 词：仿生模式识别 过程神经网络 特征知识 WALSH变换 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]