• DocumentCode
    260091
  • Title

    An active contour based method for image binarization: Application to degraded historical document images

  • Author

    Hadjadj, Zineb ; Meziane, Abdelkrim ; Cheriet, Mohamed ; Cherfa, Yazid

  • Author_Institution
    Centre de Rech. sur l´Inf. Sci. et Tech. (CERIST), Algiers, Algeria
  • fYear
    2014
  • fDate
    9-10 Nov. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Old document images often suffer from degradations that render their binarization a challenging task. In this paper, a new binarization method for degraded document images is presented. The method is based on active contours evolving according to intrinsic geometric measures of the document image; Niblack´s thresholding is also used to control the active contour propagation. The validity of the proposed method is demonstrated on both recent and historical document images including different types of degradations, the results are compared with a number of known techniques in the literature.
  • Keywords
    document image processing; history; image segmentation; Niblack thresholding; active contour propagation control; degraded historical document images; image binarization; intrinsic geometric measures; old document images; Active contours; Deformable models; Degradation; Force; Image edge detection; Level set; Lighting; Document image; Niblack´s thresholding; active contour models; binarization; level sets method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014 4th International Symposium
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4799-7507-5
  • Type

    conf

  • DOI
    10.1109/ISKO-Maghreb.2014.7033452
  • Filename
    7033452