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基于模糊模型相似测量的小类别数汉字及数字识别
引用本文:卢达,浦炜,钱忆平,谢铭培.基于模糊模型相似测量的小类别数汉字及数字识别[J].计算机工程与应用,2000,36(11):78-80.
作者姓名:卢达  浦炜  钱忆平  谢铭培
作者单位:1. 常熟高等专科学校,江苏常熟,215500
2. 复旦大学计算机科学系,上海,200433
基金项目:国家自然科学基金,江苏省教委留学回国人员科研基金资助.
摘    要:文章提出了一种基于模糊相似测量的小类别数多字体汉字及数字识别方法.该方法通过模糊逻辑处理,直接将字符的二值化图像转换成基于非线性加权相似函数的模糊样板,然后通过分类模糊模型的统计,相似性测量样板的分级组合和基于规则的分类进行识别.实验表明,该方法用于小类别数多字体汉字及数字识别的效果良好.

关 键 词:模糊模型  相似测量  字符识别  小类别数汉字识别

Small Set Chinese Character and Digit Recognition Based on Similarity Measure of Fuzzy Model
Lu Da,Pu Wei,Qian Yiping,Xie Mingpei.Small Set Chinese Character and Digit Recognition Based on Similarity Measure of Fuzzy Model[J].Computer Engineering and Applications,2000,36(11):78-80.
Authors:Lu Da  Pu Wei  Qian Yiping  Xie Mingpei
Abstract: This paper presents a method to recognize digit and small set and Multi-font Chinese character based on similarity measure of Fuzzy Model.This method can transform binary images of character directly into fuzzy prototypes based on a nonlinear weighted similarity function by fuzzy logic approach,then uses the statistical fuzzy model for classification,the hierarchic grouping of fuzzy prototypes of similarity measurement and a rule-based classifier.The experiments show this method is effective when used for small set Chinese character and digit recognition.
Keywords: fuzzy model  similarity measure  character recognition  small set Chinese character recognitiony 
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