一种基于模糊数学的手写汉字识别方法

A Recognition Method for Handprinted Chinese Character Based on Fuzzy Mathematics

本文根据人识字的思维过程提出了一种多级分类的手写汉字识别方法。构造了一个包含汉字结构与统计特征的特征矢量；并利用其建立模糊样本字典库。将模糊数学引入识别方法中，增加了字典的简明性及分类能力。初步的实验结果是令人满意的。

According to the recognition process of human brain,we present a threestage classi-fication method for handprinted Chinese character recognition.And construct a featurevector which includes the structrual and statistical information of a chinese character.We also use it to constrtict a fuzzy sample dictionary.The use of fuzzy mathematics in-creases the simplicity and classification power of the dictionary.The result of prelimi-nary experiments is satisfactory.