• DocumentCode
    2772564
  • Title

    Extraction of handwritten information in geometrically distorted documents

  • Author

    Safari, R. ; Narasimhamurthi, N. ; Shridhar, M. ; Ahmadi, M.

  • Author_Institution
    Windsor Univ., Ont., Canada
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1298
  • Abstract
    In this paper, a technique for extracting the distortion parameters in filled-in forms is presented. The technique determines the transformations that is required to convert a filled-in form to match a known master and then extracts filled-in information. The method involves determining corresponding lines and keypoints between the master and the filled-in form and using the correspondence to determine the appropriate transformation. The correspondence problem is solved using results from geometric hashing voting scheme
  • Keywords
    computational geometry; document image processing; optical character recognition; distortion parameter extraction; geometric hashing voting scheme; geometrically distorted documents; handwritten information extraction; Data mining; Geometry; Least squares methods; Testing; 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.1998.711939
  • Filename
    711939