手写体汉字识別的一种粗分类方法

    A Rough-Classification Method for the Recognition of Handwritten Chinese Characters

    • 摘要: 本文论述了一种适用于手写体汉字识別的粗分类方法。文中以方向笔道密度分布为基础,硏究了手写体汉字特征的抽取,并按照方差准则选取有效的特征,以减少冗余的信息。此法用于500个常用汉字的粗分类,获得了较为满意的结果。

       

      Abstract: A rough-classification method applicable to the recognition of handwritten Chinese characters is presented in this paper. Based on the directive stroke density of Chinese characters, the extraction technique of the characteristics of handwritten Chinese characters is studied. Effective characteristics of characters are selected in accordance with the variance criterion for the reduction of redundant data,The method was applied to 500 Chinese characters in common use with satisfactory results.

       

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