• DocumentCode
    2422474
  • Title

    A morphological subtraction scheme for form analysis

  • Author

    Okada, Minoru ; Shridhar, Malayappan

  • Author_Institution
    Educ. Center for Inf. Process., Nagoya Univ., Japan
  • Volume
    3
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    190
  • Abstract
    In this paper we propose a method to extract user entered components from various forms that may contain not only ruled lines but also gray-level background. The proposed technique utilizes a pair of form images: i) a blank form image and ii) a filled-in form image. Basically the pair of form images differ only at specific regions of the form reserved for insertion of handwritten (or machine printed) information. A sophisticated technique of inter image subtraction can extract the user entered components. In general, the background patterns of the reference image and sample images are not identical same because of printing and scanning conditions. The authors propose a morphological inter image subtraction to extract handwritten components from the filled-in forms. The user entered components are extracted by this method in a very robust manner
  • Keywords
    character recognition; mathematical morphology; background patterns; blank form image; filled-in form image; form analysis; gray-level background; handwritten information; inter image subtraction; machine printed information; morphological subtraction scheme; ruled lines; Computer science education; Data mining; Handwriting recognition; Image analysis; Information processing; Morphology; Performance analysis; Printing; Robustness; Space exploration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546936
  • Filename
    546936