• DocumentCode
    183423
  • Title

    An Active Contour Based Method for Image Binarization: Application to Degraded Historical Document Images

  • Author

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

  • Author_Institution
    Centre de Rech. sur l´Inf. Sci. et Tech. (CERIST), Algiers, Algeria
  • fYear
    2014
  • fDate
    1-4 Sept. 2014
  • Firstpage
    655
  • Lastpage
    660
  • Abstract
    Old document images often suffer from different types of degradation that render their binarization a challenging task. In this paper, a new binarization algorithm for degraded document images is presented. The method is based on active contours evolving according to intrinsic geometric measures of the document image, Nib lack´s thresholding is also used to control the active contours 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 The validity of the proposed method is demonstrated on both recent and historical document images including different types of degradations, the results are compared with a number of known techniques in the literature.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    document image processing; active contour based method; active contours propagation; degraded historical document images; image binarization algorithm; intrinsic geometric measures; old document images; thresholding; Document image; Niblacks thresholding; active contours; binarization; level sets method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
  • Conference_Location
    Heraklion
  • ISSN
    2167-6445
  • Print_ISBN
    978-1-4799-4335-7
  • Type

    conf

  • DOI
    10.1109/ICFHR.2014.115
  • Filename
    6981094