• DocumentCode
    2060369
  • Title

    Line removal and restoration of handwritten characters on the form documents

  • Author

    Yoo, Jin-Yong ; Kim, Min-Ki ; Sang Yong Ban ; Kwon, Young-Bin

  • Author_Institution
    Comput. Vision Lab., Chung-Ang Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    1997
  • fDate
    18-20 Aug 1997
  • Firstpage
    128
  • Abstract
    The off-line handwritten characters recorded on prescribed form documents may be overwritten by the lines of the form documents. Overwritten characters should be isolated in order to be recognized more effectively. However, removal of the lines causes breaks in the overwritten characters. Consequently, a character restoration process is necessary. In this paper, the shape types of overwritten characters are analyzed and a method of restoring characters that have been broken by line removal is proposed. A 97% correct restoration ratio was obtained through this method
  • Keywords
    business forms; document image processing; edge detection; feature extraction; handwriting recognition; image restoration; optical character recognition; character restoration process; character shape types; character stroke breaks; correct restoration ratio; form documents; handwritten characters; line removal; overwritten characters; Algorithm design and analysis; Character recognition; Computer science; Computer vision; Erbium; Feedback; Government; Handwriting recognition; Pattern analysis; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-8186-7898-4
  • Type

    conf

  • DOI
    10.1109/ICDAR.1997.619827
  • Filename
    619827