有限字符集的模糊识别方法  

A Fuzzy Pattern Recognition Method of Finite Character Set

作　　者：张奎风 

机构地区：[1]西安石油学院计算机系

出　　处：《西安石油学院学报》1989年第1期89-93,共5页Journal of Xi'an Petroleum Institute

摘　　要：本文讨论了有限字符集的模糊识别方法.设此有限字符集合为X,它含有26个英文字母、10个阿拉伯数字以及30个中国的省市地名,总共有66个字符.文中采用了模糊模板匹配的方法识别字符集合X中每个元素的特征;使用合成矩阵与最大隶属原則做最后判决.可以证明,这种识别方法是符合最小距离原則的.实验表明,上述方法切实可行,我们准备将这个模糊识别有限字符集的方法用于中国汽车牌照识别系统中.Fuzzy recognition of finite character set Ⅹ is discussed in the paper. Set Ⅹ with 66 characters consists of 26 English letters, 10 Arabic figures and 30 Chinese province and capital city names. A fuzzy template matching method is used to recognize each character of Set Ⅹ. Besides, similiar matrix, matrix synthese operation and fuzzy vectors are used too. It is proved that this recognition method coincides with the minimum distance recognition criterion. The fuzzy recognition method is to be used in car licence plate recognition system of China.

关 键 词：字符集 模糊 识别法 计算机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]