• DocumentCode
    327908
  • Title

    A method for character string extraction using local and global segment crowdedness

  • Author

    Shiku, Osamu ; Kawasue, Kikuhito ; Nakamura, Akira

  • Author_Institution
    Sasebo Coll. of Technol., Japan
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1077
  • Abstract
    We propose a new method for extracting character strings which have various directions and sizes. In our method, we regard a character string as a rectangular region crowded with short segments. Then two kinds of the segment crowdedness (local segment crowdedness and global segment crowdedness) are introduced to extract the rectangular regions (i.e. strings). The method was applied to many images which involve strings in various directions and sizes. The result shows that almost all strings were correctly extracted
  • Keywords
    Hough transforms; character recognition; document image processing; feature extraction; string matching; Hough transforms; character recognition; character string extraction; document image processing; global segment crowdedness; local segment crowdedness; rectangular regions; thinning; Data mining; Educational institutions; Image converters; Image segmentation; Pixel; Skeleton; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711879
  • Filename
    711879