• DocumentCode
    1954704
  • Title

    License plate location based on combinatorial feature

  • Author

    Yan-qing, Zheng ; Dai-ping, Li ; Shu-wen, Zhang

  • Author_Institution
    Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    25-27 Aug. 2011
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    The license plate location is an essential process in the license plate recognition system, and has been studied widely. In view of vehicles image on different background and light densities, this paper presents a license plate location algorithm based on combinatorial feature. Firstly, we propose to preprocess the image of license plate with traditional but rapid method. Secondly, we define some useful features so as to roughly locate the license plate. At last, we repeatedly use the combinatorial feature to obtain the real license plate from many candidates. We design this novel algorithm and integrate it into the project of the license plate recognition system. We implement and evaluate our system in various illumination and background conditions. Through extensive experiments, we show the algorithm of this paper can extract the license plate from the image efficiently and accurately.
  • Keywords
    combinatorial mathematics; feature extraction; image recognition; combinatorial feature; license plate extraction; license plate location algorithm; license plate recognition system; Arrays; Color; Feature extraction; Image color analysis; Image edge detection; Licenses; Vehicles; Intelligent Transportation System; edge detection; gray; hop; license plate location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves, Radar and Remote Sensing Symposium (MRRS), 2011
  • Conference_Location
    Kiev
  • Print_ISBN
    978-1-4244-9641-9
  • Type

    conf

  • DOI
    10.1109/MRRS.2011.6053626
  • Filename
    6053626