• DocumentCode
    2254227
  • Title

    Twice background determination algorithm for color document images

  • Author

    Tsai, Chung-Ming

  • Author_Institution
    Dept. of Comput. Sci., Taipei Municipal Univ. of Educ., Taipei, Taiwan
  • Volume
    5
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2692
  • Lastpage
    2696
  • Abstract
    Many color document images have been printed with different regions to highlight the content. Each region has different background color. Conventional document binarization methods cannot threshold these kind documents properly. Moreover, most of them are not efficient for processing color document with big image size. For example, the size of one page pdf file journal article is converted to 300 pixels per inch TIFF file format is 2481×3296. Conventional document binarization methods to threshold these big document images will take a lot of time. Thus, this paper proposes an efficient and effective two-stage background determination method for color document images to solve aforementioned problems. This novel method is very efficient because it only analysis the border pixels in the color document and the region images. Our experiments include various color document images. Experiment results show that the performance of the proposal method is better than other available thresholding methods in visual measurement.
  • Keywords
    document image processing; image colour analysis; image segmentation; aforementioned problems; color document images; conventional document binarization methods; thresholding methods; two-stage background determination method; Cybernetics; Image color analysis; Image segmentation; Machine learning; Optical character recognition software; Pixel; Proposals; Background determination; Color document; H-V scanning; Two-stage background determination; document binarization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580937
  • Filename
    5580937