Adjustment and Correction Demarcation Points in Dongba Hieroglyphic Feature Curves Segmentation

  • Yuting YangEmail author
  • Houliang Kang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)


Dongba hieroglyph is a kind of very primitive picture hieroglyphs. Its picture features allow us to analyse the overall and local features of Dongba characters in combination with the existing feature extraction, simplification and segmentation algorithms for shape in computer vision. Moreover, the analysis of the local features of Dongba hieroglyphs play an important role in the study of Dongba hieroglyph’s writing, the evolution process of hieroglyphs and the comparison between similar hieroglyphs. Therefore, in this paper, we first use the Chain-Code Based Connected Domain Priority Marking Algorithm (CDPM) and the Discrete Curve Evolution Algorithm (DCE) to obtain the simplified feature curve of Dongba hieroglyph. Then, we focus on the selection and adjustment of demarcation points and local curve segmentation. And, the experiment proves that our method can further correct the potential errors in the curve segmentation, which is helpful to improve the correct rate of hieroglyph’s local feature extraction.


Dongba hieroglyphic feature curve Curve segmentation Demarcation points adjustment Demarcation points correction 



This research was partially supported by the Scientific Research Fund of Yunnan Education Department (2018JS748).


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Culture and Tourism CollegeYunnan Open UniversityKunmingChina
  2. 2.College of Humanities and ArtYunnan College of Business ManagementKunmingChina

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