• DocumentCode
    476244
  • Title

    Image smooth magnification segmentation based on curve expression

  • Author

    Chen, Xiao-feng ; Pan, Bao-chang ; Zheng, Sheng-lin

  • Author_Institution
    Dept. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
  • Volume
    5
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2899
  • Lastpage
    2904
  • Abstract
    Propose some algorithms about image smooth magnification and character segmentation, aiming at the difficult factor of little license plate region segmentation, in license plate recognition. In the algorithm, describe the relationship between image and surface, with Cardinal curve construction and sampling methods, magnify image smoothly in transverse and longitudinal direction, take image binarization with iterative method, make longitudinal projection, calculate and modify projection segmentation attributes, segment license plate characters. The experiments shows that the algorithm magnify image, wipe off noise at the same time, and realize license plate character segmentation more easily.
  • Keywords
    character recognition; computational geometry; image recognition; image segmentation; iterative methods; Cardinal curve construction; character segmentation; curve expression; image binarization; image smooth magnification segmentation; iterative method; license plate recognition; Cameras; Curve fitting; Digital images; Gray-scale; Image segmentation; Interpolation; Licenses; Pixel; Road vehicles; Surface fitting; Cardinal Curve; Curve Expression; Image Magnification; License Plate Segmentation; Projection Segmentation Attributes;
  • 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.2008.4620903
  • Filename
    4620903