Abstract: 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.

Key words: CDPM algorithm, dongba hieroglyphic, edge detection, words partitioning