• DocumentCode
    3019542
  • Title

    A form dropout method based on line-elimination and image-subtraction

  • Author

    Shima, Yoshihiro ; Ohya, Hiroshi ; Yasuda, Michio

  • Author_Institution
    Fac. of Phys. Sci. & Eng., Meisei Univ., Tokyo, Japan
  • fYear
    2005
  • fDate
    29 Aug.-1 Sept. 2005
  • Firstpage
    126
  • Abstract
    A method of preprint elimination for form images is proposed. Form images have fixed parts, such as character strings and lines. These fixed parts are known as preprint, which are not used for data entry. This dropout method is based on image subtraction and line elimination for distorted images. The location, rotation and magnification are modified for distorted form images. Character patterns and short ruled lines are eliminated by subtraction of bitmap template images. Long ruled lines are extracted and directly eliminated by using run data.
  • Keywords
    business forms; data compression; document image processing; bitmap template image; character line elimination; character pattern; character string; form dropout method; form image preprint elimination; image distortion; image-subtraction; Banking; Data compression; Data mining; Government; Image coding; Image processing; Informatics; Insurance; Optical character recognition software; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
  • ISSN
    1520-5263
  • Print_ISBN
    0-7695-2420-6
  • Type

    conf

  • DOI
    10.1109/ICDAR.2005.9
  • Filename
    1575523