• DocumentCode
    476252
  • Title

    Research and design of digital validation image recognition algorithm based on contour features

  • Author

    Kang, Chun-ying ; Zhang, Wei ; Zhang, Tao

  • Author_Institution
    Heilongjiang Univ., Harbin
  • Volume
    5
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3022
  • Lastpage
    3025
  • Abstract
    This paper proposes a simple and fast digit recognition algorithm based on exterior contour features of a digital validation image. First, we convert the validation image into a binary one and divide the binary image into some single number image. Then compute the exterior contour features of the single image from top, bottom, left and right 4 directions. Finally, we recognize the number according to their contour features. The test results show that the recognition accuracy of this algorithm is relatively high and the speed is fast. In addition, it can be used to recognize other kinds of characters.
  • Keywords
    edge detection; binary image; digital validation image recognition algorithm; exterior contour features; first-order differential; Algorithm design and analysis; Color; Cybernetics; Histograms; Image converters; Image recognition; Image segmentation; Machine learning; Machine learning algorithms; Testing; Contour features; First-order differential; Number recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620925
  • Filename
    4620925