• DocumentCode
    3264064
  • Title

    Recognition of Hand Writing Japanese Character

  • Author

    Sano, Tetsuya ; Ukida, Hiroyuki ; Yamamoto, Hideki

  • Author_Institution
    Syst. Enterprise Co.,Ltd., Okayama
  • fYear
    2007
  • fDate
    6-8 Sept. 2007
  • Firstpage
    399
  • Lastpage
    403
  • Abstract
    Handwriting is one of the most natural writing ways of characters. A Japanese brush pen is one of traditional writing material, and it is used in practice of the writing characters in schools. We developed a new computer input device using a brush pen. The written character is reconstructed by contour sequences of the tip of the brush pen by using image processing technologies. The written characters are classified by two pattern recognition methods. One is based on the use of the chain codes for each brush pen stroke. And the other is based on the use of the marginal distributions of the reconstructed characters. The accuracy of the recognition for the characters is enough high in character recognition. Sampling time was 0.1 second. As the line width of character can be changed just as wanted, the developed computer input device is comfortable in writing the characters.
  • Keywords
    handwritten character recognition; image reconstruction; image sampling; Japanese brush pen; brush pen stroke; chain codes; contour sequences; handwriting Japanese character recognition; image processing technologies; marginal distributions; pattern recognition methods; traditional writing material; Brushes; Character recognition; Charge coupled devices; Charge-coupled image sensors; Educational institutions; Handwriting recognition; Image reconstruction; Pattern recognition; Plastics; Writing; Hand writing; Image processing; Input device; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
  • Conference_Location
    Dortmund
  • Print_ISBN
    978-1-4244-1347-8
  • Electronic_ISBN
    978-1-4244-1348-5
  • Type

    conf

  • DOI
    10.1109/IDAACS.2007.4488447
  • Filename
    4488447