东巴象形文字特征曲线提取算法研究

Research on the Extracting Algorithm of Dongba Hieroglyphic Feature Curves

东巴文是一种原始的图画象形文字,要提高东巴文字的识别率,准确提取字符的特征曲线是关键。现阶段对东巴文字的检索和识别研究大多仍停留在使用已有的、通用的及成熟的识别技术,对东巴文字本身的分析和讨论较少。因此,结合东巴象形文字的形态特征和结构要素,给出了基于链码的连通域优先级标记算法(CDPM),该算法通过扩展Freeman链码在边缘检测及曲线局部分割方面的功能,实现了使用一种算法完成轮廓型及结构型两种不同类型东巴字素的特征曲线提取,通过大量实验及与其他经典边缘检测算法的比较表明,CDPM算法具有良好的通用性、可扩展性及健壮性,并且准确率达到了98.2%,从而为东巴文字的检索和识别奠定坚实的基础。

Dongba hieroglyphic is a kind of very primitive picture hieroglyphs.In order to increase the recognition rate of Dongba words,extracting the feature curves of glyphs is the key.At present,the retrieval and recognition of Dongba hieroglyphs still use the existing,universal and mature technology,and there is less analysis and discussion on the Dongba hieroglyphs themselves.Therefore,we analyze the shape and structure of the Dongba hieroglyphs in depth,and give a connected-domain priority marking algorithm based on chain codes.It extends the characteristic of Freeman chain code in edge detection and local segmentation of curves,and satisfies the requirements of contour and structure type of feature curve extraction.We use a large number of experiments and comparison with other classical edge detection algorithms to show that the CDPM algorithm has good versatility,scalability and robustness,and the accuracy reaches 98.2%.It lays a foundation for the retrieval and identification of Dongba hieroglyphs.