• DocumentCode
    2353241
  • Title

    A Research on the Stroke-Segment-Mesh (SSM) Glyph Depiction Method of Chinese Character

  • Author

    Lin, Min ; Song, Rou ; Ge, Shi-Li

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing
  • fYear
    2008
  • fDate
    23-25 July 2008
  • Firstpage
    269
  • Lastpage
    278
  • Abstract
    There are defects in the current depiction method of computerized Chinese character glyph, especially on the aspect of feature selection and computation for comparing glyphs, which cause many problems, such as the input of wrongly written characters, variant forms of characters in ancient literatures, and combined-characters and automatic glyph comparing. This research offers an application-oriented depiction method of Chinese character glyph, which possesses the characteristics of suitable granular degree, ambiguity-free, and standardized basic units and which can be applied in the depiction of any possible different glyph skeletons (including wrongly written characters, variant form of a Chinese character, and combined-characters). This research also offers the classifications of basic stokes, compound stokes, algorithms of automatic stoke extraction and structural relation computation based on stroke-segments-mesh depiction of glyphs. The experiment indicates that this method can be applied in the descriptive input of any glyph and computation for comparing either the whole or part of glyphs.
  • Keywords
    character recognition; natural languages; Chinese character glyph; application-oriented depiction method; automatic stoke extraction; stroke-segment-mesh glyph depiction; Character recognition; Computer science; Cultural differences; Education; Educational institutions; Handwriting recognition; Humans; Information technology; Natural languages; Skeleton; Chinese Character Glyph; Formal Description; Stroke-Segments-Mesh;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on
  • Conference_Location
    Dalian Liaoning
  • Print_ISBN
    978-0-7695-3273-8
  • Type

    conf

  • DOI
    10.1109/ALPIT.2008.62
  • Filename
    4584379