• DocumentCode
    2022045
  • Title

    A Novel Binarization System for Degraded Document Images

  • Author

    Xi, Yan ; Chen, Youbin ; Liao, Qingmin ; Winghong, Leung ; Shunming, Fung ; Jiangwen, Deng

  • Author_Institution
    Tsinghua Univ., Senzhen
  • Volume
    1
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    287
  • Lastpage
    291
  • Abstract
    A novel binarization system for degraded document images is proposed in this paper. It combines two local adaptive binarization methods (Niblack method (1986) and improved Palumbo method(1986)) which are complementary to each other. Niblack thresholding algorithm behaves very well in character areas but causes a lot of noise in background areas while the improved Palumbo thresholding algorithm causes little background noise but sometimes it over-thresholds the characters. The proposed system which combines both Niblack thresholding and Palumbo thresholding takes advantages of these two methods. Experiments show that it performs very well with little background noise and can be used to binarize degraded document images in many application circumstances.
  • Keywords
    document image processing; image segmentation; Niblack thresholding algorithm; Palumbo thresholding algorithm; adaptive binarization methods; degraded document images; Application specific integrated circuits; Assembly systems; Automation; Background noise; Character recognition; Degradation; Eyes; Gray-scale; Humans; Image recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
  • Conference_Location
    Parana
  • ISSN
    1520-5363
  • Print_ISBN
    978-0-7695-2822-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.2007.4378720
  • Filename
    4378720