• DocumentCode
    1933615
  • Title

    Title detection algorithm for OCR credentials image based on directional projection and divergence

  • Author

    Wang, Zhiwen ; XIE, Guoqing ; Li, Shaozi ; LIU, Zhi

  • Author_Institution
    Dept. of Comput. & Eng., Guangxi Univ. of Technol., Liuzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    212
  • Lastpage
    215
  • Abstract
    According to the OCR character region in OCR credentials image, a new skew detection method was presented by using Bresenham´s integer only line drawing algorithm and within-group measure of dispersion. Several directional projection are calculated in the algorithm by using Bresenham´s integer line drawing algorithm. At the same time calculating minimal within-group measure of dispersion of the directional projection. After searching minimal value of all within-class divergence, the angle relative of minimal value is the one of the OCR credentials. Experiment results show that the new method can measure out the slanting degree of an OCR credentials image efficiently and accurately.
  • Keywords
    document image processing; edge detection; optical character recognition; Bresenham integer line drawing algorithm; OCR credentials image; directional projection; skew detection method; title detection algorithm; Optical character recognition software; credentials; directional projection; skew detection; within-class divergence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5563809
  • Filename
    5563809