• DocumentCode
    3361696
  • Title

    Locating car license plate under various illumination conditions using genetic algorithm

  • Author

    Jun, Xiong ; Sidan, Du ; Duntang, Gao ; Qinhong, Shen

  • Author_Institution
    Dept. of Electron. Sci. & Eng., Nanjing Univ., China
  • Volume
    3
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    2502
  • Abstract
    In this paper genetic algorithm is used for the license plate locating problem. To overcome the degradation of license plates in vehicle images under various illumination conditions, a windowed local area is adaptively binarized and the feature vector is obtained from a bank of filter. After that, the real integer coded genetic algorithm is proposed to search the whole image for the most promising area. Experimental results show that the local area processing combined with GA is quite robust with images of various illumination conditions compared with other techniques.
  • Keywords
    automobiles; channel bank filters; feature extraction; genetic algorithms; image coding; traffic engineering computing; feature vector; filter bank; integer coded genetic algorithm; license plate locating problem; local area processing; various illumination condition; windowed local area; Cameras; Charge coupled devices; Degradation; Feature extraction; Filter bank; Genetic algorithms; Licenses; Lighting; Robustness; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1442289
  • Filename
    1442289