• DocumentCode
    2099277
  • Title

    A Fast License Plate Segmentation and Recognition Method Based on the Modified Template Matching

  • Author

    Jin Quan ; Quan, Jin ; Shi Ying ; Xue Zhihua

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Cincinnati, Cincinnati, OH, USA
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Character segmentation is an important step in a LPR system, this paper presents a new method for character segmentation and recognition, correcting the image of license plate which uses the improved method of Hough transform, then employs the normalization method to segment the characters of the license plate and finally utilizes a modified template matching method to recognize the characters of the license plate. The result of the experiment shows that the method presented in the paper is easy and feasible, faster in recognizable speed, performs well in segmentation, and is valuable in practical application.
  • Keywords
    Hough transforms; automated highways; character recognition; image matching; image segmentation; Hough transform; character recognition; character segmentation; intelligent transport system; license plate recognition; license plate segmentation; normalization method; template matching; Automation; Cameras; Character recognition; Image recognition; Image segmentation; Licenses; Road vehicles; Statistics; Transforms; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5302020
  • Filename
    5302020