甲骨文计算机识别方法研究

甲骨文是中国最古老的一种象形文字，富有绘画的特点，因此不能用目前识别汉字的方法进行识别。该文提出一种两级分类的识别程序设计方法：首先，将街识字符抽象为一种图，并其拓扑特征进行了第一级识别；然后，给出一种广义笔划定义，并在此基础上提取有关的特征进行第二级识别。初步实验表明，识别率达９４％。

A method of Jia Gu Wen recognition based on a two-level classification

ia Gu Wen is the earliest Chinese character. Since it has many of the properties of the drawing,common recognizing methods cannot be efficiently applied. This paper provides a recognizing method using a two-level classification. First,treat the character as a non-directional graph and extract its topological properties. Then,based on the definition of an extensive stroke,extract the relevant properties of the strokes and make a second-level recognition. Experiments have shown that the recognition rate is about 94%.