• DocumentCode
    2220510
  • Title

    An algorithm for online strokes verification of Chinese characters using discrete features

  • Author

    Tan, Chwee Keng

  • Author_Institution
    Temasek Polytech., Singapore, Singapore
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    339
  • Lastpage
    344
  • Abstract
    Existing Chinese educational software tools teach the students at the primary or kindergarten levels the stroke movements and stroke order of each Chinese character by animating the individual strokes of the whole character, one stroke at a time. In this paper the author presents an algorithm which allows the student to hand-write a specified character online through the computer, and which checks if the individual stroke movements and the strokes´ order are correct. The algorithm proposed here uses low-integer-valued coding to represent two categories of features: primitive-stroke features and character features. The proposed algorithm is capable of identifying the typical errors as incorrect movement for the primitive stroke, incorrect stroke type, incorrect relative lengths, incorrect position of a stroke from the rest, incorrect character which looks similar in appearance, incorrect order of strokes and insufficient or extra strokes.
  • Keywords
    computer aided instruction; feature extraction; handwritten character recognition; real-time systems; teaching; Chinese characters; discrete features; educational software; low-integer-valued coding; online handwritten character verification system; stroke features; stroke movements; strokes verification; Algorithm design and analysis; Animation; Character recognition; Computer errors; Feedback; Software performance; Software prototyping; Software tools; Testing; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on
  • Print_ISBN
    0-7695-1692-0
  • Type

    conf

  • DOI
    10.1109/IWFHR.2002.1030933
  • Filename
    1030933