Advertisement

A Local Feature Curve Extraction Algorithm for Dongba Hieroglyphs

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

Abstract

Dongba hieroglyph is a kind of very primitive picture hieroglyphs; they express meaning by using pictures. This makes the same type words have some similarities in morphology and structure, and they are distinguished only by local differences. In this paper, we analyse the basic structural of the single graphemes in Dongba hieroglyphs. By analysing the writing methods and habits, we give a local feature curve extraction algorithm for Dongba Hieroglyphs based on CDPM (Connected Domain Priority Marking Algorithm) and DCE (Discrete Curve Evolution Algorithm). The algorithm can extract local feature curves which can contain one or more glyphic features, and it can also combine redundant curves based on template curves to facilitate the comparison between the local curves and template. Extracting the local feature curves of Dongba hieroglyph is helpful to analysis the local similarities in different hieroglyphs, classify and retrieve hieroglyph. Moreover, it also has very important significance in studying the creation method of Dongba hieroglyph.

Keywords

Local curve extraction Local feature curve Curve extraction algorithm Dongba hieroglyphs feature curve 

Notes

Acknowledgement

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

References

  1. 1.
    He, L.M.: The research of Dongba culture heritage. Soc. Sci. Yunnan 1, 83–87 (2004)Google Scholar
  2. 2.
    He, J.G.: The development trend of Dongba culture studies of the Naxi nationality. J. Yunnan Natl. Univ. 24(1), 81–84 (2007)Google Scholar
  3. 3.
    Ge, A.G.: Dongba culture review. J. Natl. Artist. Res. 2, 71–80 (1999)Google Scholar
  4. 4.
    He, Z.W.: Discussing the characteristics of Naxi hieroglyphic including the different of original pictograph, hieroglyphic and ideograph. Soc. Sci. Yunnan 3, 71–82 (1982)Google Scholar
  5. 5.
    Fang, G.Y., He, Z.W.: The Dictionary of Naxi Hieroglyphic. Yunnan People’s Publishing House, Kunming (2005)Google Scholar
  6. 6.
    Li, L.C.: Pronunciation Dictionary of Naxi Hieroglyphic. Yunnan Nationalities Publishing House, Kunming (2001)Google Scholar
  7. 7.
    Rock, J.F., Khi, N.: English Encclopedic Dictionary (Part I). Roma Istituto Italiano Peril Medio ed Estreme Prientale, Roma (1963)Google Scholar
  8. 8.
    He, L.F.: Hieroglyphic Structure of Naxi Dongba and Its International Standard. Shanghai Normal University, Shanghai (2016)Google Scholar
  9. 9.
    Yang, Y.T., Kang, H.L.: A novel algorithm of contour tracking and partition for Dongba hieroglyph. In: Processing of 13th Chinese Conference IGTA 2018, pp. 453–463 (2018)CrossRefGoogle Scholar
  10. 10.
    Latecki, L.J., LakaÈmper, R.: Polygon evolution by vertex deletion. In: Processing in International Conference of Scale-Space Theories in Computer Vision, pp. 398–409 (1999)CrossRefGoogle Scholar
  11. 11.
    Latecki, L.J., LakaÈmper, R.: Shape similarity measure based on correspondence of visual parts. IEEE Trans. Pattern Anal. Mach. Intell. 22(10), 1–6 (2000)CrossRefGoogle Scholar
  12. 12.
    Latechi, L.J., Lakamper, R.: Convexity rule for shape decomposition based on discrete contour evolution. Comput. Vis. Image Underst. 73(3), 441–454 (1999)CrossRefGoogle Scholar
  13. 13.
    Chen, B.F., Qian, Z.F.: An algorithm for identifying convexity-concavity of a simple polygon. J. Comput. Aided Des. Comput. Graphics 2(14), 214–217 (2002)Google Scholar
  14. 14.
    Song, X.M., Cheng, C.X.: An analysis and investigation of algorithms for identifying convexity concavity of a simple polygon. Remote Sens. Land Resour. 9(13), 25–31 (2011)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Culture and Tourism CollegeYunnan Open UniversityYunnanChina
  2. 2.College of Humanities and Art, Yunnan College of Business ManagementYunnanChina

Personalised recommendations