• DocumentCode
    3482347
  • Title

    A novel algorithm of license plates automatic location based on texture feature

  • Author

    Chen, Zhen-Xue ; Liu, Cheng-Yun ; Chang, Fa-Liang ; Xu, Jian-Guang

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1360
  • Lastpage
    1363
  • Abstract
    Locating the vehicle license plate plays an important role in the vehicle license plate automatic recognition system. A novel locating approach based on the texture feature is presented in this paper. Analyzing the texture of plate image, this paper makes one dimension cycle clear method for map of horizontal projection. This method can effectively filter the noise and clutter around car license plates, and accurately locate them. A set of experiments has been performed to prove the robustness and accuracy of the approach. For many images collected from a large traffic crossing, the experimental results show that 98.5% of them are correctly segmented.
  • Keywords
    filtering theory; image recognition; image texture; road traffic; clutter filtering; noise filtering; one dimension cycle clear method; plate image texture analysis; vehicle license plate automatic recognition system; vehicle license plate location; Filters; Histograms; Image edge detection; Image enhancement; Image texture analysis; Licenses; Neural networks; Noise robustness; Noise shaping; Vehicles; ITS (Intelligent Transport System); image enhancement; one dimension cycle clear (1-DCC); projection; texture feature; vehicle license plate location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262747
  • Filename
    5262747