• DocumentCode
    3421450
  • Title

    2-D modeling and Hough transform for document analysis

  • Author

    Courtellemont, P. ; Olivier, C. ; Avila, M.

  • Author_Institution
    UFR des Sci., Rouen Univ., Mont-Saint-Aignan, France
  • fYear
    1992
  • fDate
    9-13 Nov 1992
  • Firstpage
    1325
  • Abstract
    The authors study how discrimination between text and graphics can be made in images binarized or not. The method used assumes that a block composed of text has privileged directions. In this case, the discrimination becomes a detection of lines by the Hough transform. The algorithm used is relatively independent of changes in text font, style, and size, as well as of string orientation. The images that are recognized either are nonbinarized, issue from a scanner, or issue from a charge-coupled device (CCD) camera
  • Keywords
    Hough transforms; document image processing; image recognition; 2-D modeling; Hough transform; binarized images; document analysis; nonbinarised images; text strings recognition; Charge coupled devices; Differential equations; Graphics; Image recognition; Partitioning algorithms; Pixel; Predictive models; Text analysis; Text recognition; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0582-5
  • Type

    conf

  • DOI
    10.1109/IECON.1992.254411
  • Filename
    254411