• DocumentCode
    3047395
  • Title

    License plate location based on adaboost

  • Author

    Zhang, Xiangdong ; Shen, Peiyi ; Bai, Jianhua ; Lei, Jing ; Hu, Yang ; Xiao, Yuli ; Li, Bo ; Qi, Dongpo

  • Author_Institution
    Xidian Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    1705
  • Lastpage
    1710
  • Abstract
    License plate locating has been the bottleneck of Automatic Vehicle Recognition System. In order to improve the speed and accuracy of license plate locating, this paper proposes a simple and practical method of license plate locating. This method uses the adaboost algorithm to locate license plate. We can first enhance the texture features in the vertical direction of the plate through image preprocessing such as edge detection and binarization. And then, we can find out the horizontal region of license plate by counting the number of transitions from white pixel to black pixel. At last, we use the adaboost algorithm to locate the plate accurately.
  • Keywords
    edge detection; feature extraction; image recognition; traffic engineering computing; vehicles; adaboost algorithm; automatic vehicle recognition system; edge binarization; edge detection; image preprocessing; license plate location; Automation; Color; Computer vision; Gray-scale; Image edge detection; Iterative algorithms; Licenses; Neural networks; Pixel; Vehicle detection; adaboost algorithm; edge detection; license plate location; texture features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2010 IEEE International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-5701-4
  • Type

    conf

  • DOI
    10.1109/ICINFA.2010.5512232
  • Filename
    5512232