首页 | 本学科首页   官方微博 | 高级检索  
     检索      

有限字符集的模糊识别方法
引用本文:张奎风.有限字符集的模糊识别方法[J].西安石油大学学报(自然科学版),1989(1).
作者姓名:张奎风
作者单位:西安石油学院计算机系
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.

关 键 词:有限字符集  模糊矢量  相关矩阵  矩阵的合成

A Fuzzy Pattern Recognition Method of Finite Character Set
Zhang Kuijeng.A Fuzzy Pattern Recognition Method of Finite Character Set[J].Journal of Xian Shiyou University,1989(1).
Authors:Zhang Kuijeng
Institution:Department of Computer Science
Abstract: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.
Keywords:finite character set  fuzzy vector  relative matrix  composition of matrix
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号