• DocumentCode
    1949965
  • Title

    License Plate Recognition Based on Genetic Algorithm

  • Author

    Ji-yin, Zhao ; Rui-rui, Zheng ; Min, Li ; Yin, Li

  • Author_Institution
    Coll. of Electormechanical & Inf. Eng., Dalian Nat. Univ., Dalian
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    965
  • Lastpage
    968
  • Abstract
    A license plate location method based on projection and genetic algorithm was proposed in this paper. Projection located the left and right edges of license plate. Genetic algorithm searched license plate region with second order moment as objective function which described texture in license plate region quantitatively. Four sub-nets were designed to classify Chinese characters, alphabet characters, alphabet & numeral characters and numeral characters toughly. Small nets were designed to recognize several characters with similar structure precisely. Experiments indicates that locating accuracy of algorithm proposed in this paper is 97%. The algorithm can anti-interference strongly and has a well perform on poor quality image. BP classifier designed in this paper has well stability, high fault tolerant capability and its accuracy is 96.5%.
  • Keywords
    backpropagation; character recognition; genetic algorithms; image classification; image texture; BP classifier; Chinese characters; alphabet characters; fault tolerant capability; genetic algorithm; image quality; license plate location method; objective function; Algorithm design and analysis; Automobiles; Computer science; Digital cameras; Genetic algorithms; Genetic engineering; Image edge detection; Licenses; Pattern recognition; Software engineering; genetic algorithm; license plate location; license plate recognition; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.344
  • Filename
    4721911