• DocumentCode
    2287255
  • Title

    A vehicle license plate location and correction method based the characteristics of license plate

  • Author

    Jun, Fang ; Shuguang, Dai

  • Author_Institution
    Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    42
  • Lastpage
    46
  • Abstract
    With the development of the city, more and more license plate recognition systems are applied to the intelligent transportation management. License plate recognition is divided into three steps: license plate location, character segmentation and character recognition, therefore, the positioning of the license plate is an essential step in the process of license plate recognition. Meanwhile, in the character segmentation process, the tilt angle plate influences the exact character segmentation. For different tilt angles of the plate, this paper presents a license plate location based on the feature information of the license plate, and a tilt angle correction method, Combined with the Hough Transform. A large number of experiments show that the method is better to solve the above problems, and adapt to a variety of license plate location and correction. The method has a strong environmental adaptability and robustness.
  • Keywords
    Hough transforms; automated highways; character recognition; image segmentation; transportation; Hough transform; character recognition; character segmentation process; environmental adaptability; intelligent transportation management; license plate correction; license plate positioning; license plate recognition system; tilt angle correction method; tilt angle plate; vehicle license plate location; Character recognition; Gray-scale; Histograms; Image edge detection; Licenses; Transforms; Vehicles; Correction; Hough Transform; Location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6357836
  • Filename
    6357836