• DocumentCode
    2629572
  • Title

    Extraction of character strings from unformed document images

  • Author

    Takizawa, Kei ; Arita, Daisaku ; Minoh, Michihiko ; Ikeda, Katsuo

  • Author_Institution
    Fac. of Eng., Kyoto Univ., Japan
  • fYear
    1993
  • fDate
    20-22 Oct 1993
  • Firstpage
    660
  • Lastpage
    663
  • Abstract
    A method to extract character strings from unformed document images, which have inclined strings of character patterns and have no structure at all, is described. To process such kinds of unformed documents, previous schemes, which are intended only to deal with such documents as have just horizontal or vertical strings of characters, do not work well. The method is based on the idea that the processes of recognition and extraction of character patterns should cooperate together, and on the characteristic that the character patterns are located close to each other when they belong to the same string and apart when they do not. The method has been implemented and the experimental results show the robustness of the method
  • Keywords
    document image processing; optical character recognition; string matching; character patterns; character recognition; character string extraction; unformed document images; Character recognition; Flowcharts; Graphics; Image recognition; Image reconstruction; Image retrieval; Pattern recognition; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
  • Conference_Location
    Tsukuba Science City
  • Print_ISBN
    0-8186-4960-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1993.395651
  • Filename
    395651