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    完全基于结构知识的汉字笔画抽取方法

    A TOTALLY KNOWLEDGE BASED STROKE EXTRACTION METHOD FOR CHINESE CHARACTERS

    • 摘要: 从汉字结构知识出发 ,提出了一种从汉字图像直接抽取笔画的算法 .给出了抽取横、竖、撇、捺 4种笔画的完全量化了的定理 ,和去除不同字体的笔画修饰噪声的规则 .该方法较好地解决了各笔画的相交、相连及噪声排除等问题 .它在汉字识别及字体自动生成等汉字信息处理方面有重要作用 .

       

      Abstract: Based on the knowledge of the structure of Chinese characters, an efficient method to extract strokes of Chinese characters directly from the original character image is presented in this paper. The theorems of extracting horizontal stroke, vertical stroke, up right slanting stroke, and up left slanting stroke are described quantitatively. And the rules on eliminating stroke noises of various artistic fonts are presented. This method overcomes the difficulties in dealing with the intersection or connection of different strokes, and can eliminate noises successfully. It plays an important role in Chinese character information processing such as character recognition and fonts automation.

       

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