• DocumentCode
    560932
  • Title

    A normalization method of converting online handwritten Chinese character to Stroke-Segment-Mesh Glyph

  • Author

    Huang, Hanquan

  • Author_Institution
    China
  • fYear
    2011
  • fDate
    17-18 Dec. 2011
  • Firstpage
    359
  • Lastpage
    364
  • Abstract
    Stroke-Segment-Mesh Depiction of Chinese Character Glyph (mesh glyph) can depict input of any glyph and computation for comparing either the whole or part of glyphs. Basing on Stroke-Segment-Mesh model, a method of normalization converting online handwriting Chinese characters to Stroke- Segment-Mesh Glyph is presented. Firstly, normalize the key points of every stroke. And then normalize relative position relationships of strokes. Using the method of normalizing sequential key points improves the normalization method of handwriting Chinese character, and thus figure out the problem of stroke segment translocation when normalizes complex strokes. The method of normalizing relative position relationships of strokes is to ensure relative position relationships consistency among the strokes of mesh glyph and the handwritten Chinese character by moving, extending or shortening the corresponding strokes. Experimental results indicate that the presented method has much better converting effect and sets foundation for stroke-segment-mesh glyph recognition and the Chinese characters quality evaluation.
  • Keywords
    character sets; natural language processing; Chinese character glyph; Chinese characters quality evaluation; normalization method; online handwritten Chinese character; stroke segment translocation; stroke-segment-mesh depiction; stroke-segment-mesh glyph recognition; stroke-segment-mesh model; Character recognition; Computers; Educational institutions; Fitting; Handwriting recognition; Periodic structures; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on
  • Conference_Location
    Jakarta
  • Print_ISBN
    978-1-4577-1688-1
  • Type

    conf

  • Filename
    6140764