用特征向量元素模糊分类的手写汉字识别

RECOGNIZING HANDWRITING HANZI (CHINESE CHARACTER) BY FEATURE VECTOR ELEMENT FUZZY CLASSIFICATION

本文介绍了一个用特征向量元素模糊分类的手写汉字识别系统。系统在预处理时采用字心中心法,一级分类用笔道密度函数特征的向量元素模糊方法分类,详细识别用外廓方向贡献度特征。系统实验表明本识别方法是有效的。

In this paper, a recognition method of handwriting Hanzi (Chinese Character) is presented. Preprocessing character pattern system creats a character core centre method. In first classification, the feature vector element fuzzy classification is used to class the characters. Recognizing system in detail makes use of peripheral direction contributivity feature. The experiment result shows that the system and method is effective.