• DocumentCode
    1962937
  • Title

    An Improved Online Handwriting Thai Character Recognition

  • Author

    Jamjuntr, Pitchaya ; Dejdumrong, Natasha

  • Author_Institution
    Dept. of Comput. Eng., King Mongkut´´s Univ. of Technol., Bangkok, Thailand
  • fYear
    2011
  • fDate
    17-19 Aug. 2011
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    This research is a study of handwriting Thai characters for computer use. This paper covers the creation of an online handwriting recognition system by using our proposed method. Our study shows the character sampling number is 10 significant points. The characters will be compared with a standard and personal database which contains predefined character information. Our method supports various writing and different character styles. The average recognition rates are of 87.89% in standard database and 94.93% in personal database. Our proposed method is effective for Thai handwriting character recognition.
  • Keywords
    character recognition; handwriting recognition; sampling methods; character sampling; improved online handwriting Thai character recognition system; predefined character information; Character recognition; Computers; Databases; Educational institutions; Handwriting recognition; Training; Writing; Geometric Modeling; Thai Character Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualization (CGIV), 2011 Eighth International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0981-4
  • Type

    conf

  • DOI
    10.1109/CGIV.2011.39
  • Filename
    6054093