手写体汉字模式识别
Pattern Recognition of Chinese Characters in Handwriting
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摘要: 本文介绍了一种运用统计决策法和句法结构法识别手写体汉字的方法。该识别方法基于下列事实:汉字可以用汉字语法树表示。对每个汉字模式可通过字根分离和字根识别生成语法树来描述。识别过程如下:首先,搜索汉字中的"结构缝隙"分离字根,然后,根据模糊数学的理论对分离出的字根进行模糊聚类、比较、识别,生成汉字语法树,最后,中序遍历语法树组装汉字,查找汉字字典,输出识别结果。该识别方法在APPLEⅡ微型机上作了模拟试验,得到了初步验证。Abstract: This paper presents a way which recognizes the Chinese characters in handwriting on basis of statistical decision making and sentence structure.The method of recognition can work because a Chinese character can be represented by a grammar tree.Each pattern of Chinese character can be described by generating a grammar tree through separating the roots of the character and the recognition of them.The procedure of the recognition is as follows:firstly,"gaps of structure" of a Chinese character are searched to separate the roots of the character,and then,the roots separated are clustered fuzzily,compared and recognized according to the theory of fuzzy mathematics,finally,the grammar tree is traveled symmetrically,the Chinese character is assembled,the Chinese dictionary in the computer is looked upon and the result of recognition is output.This method of recognition has been proved through the analogous experimentation on micro-computer Apple Ⅱ.