• DocumentCode
    190143
  • Title

    A robust and highly efficient localization method for irregular license plates

  • Author

    Ghaffari, B.V. ; Kitajima, T. ; Abdullah, S.S. ; Kouhnavard, M.

  • Author_Institution
    Malaysia-Japan Int. Inst. of Technol. (MJIIT), Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    624
  • Lastpage
    629
  • Abstract
    This paper presents a robust method for license plate localization (LPL). Basically, the performance of LPL directly affects the accuracy of License Plate Recognition system. Although many studies had been conducted on LPL systems, many of them only discuss on license plate (LP) from countries that have restricted and distinguished LP types in terms of shapes and fonts. In this paper, a novel LPL system is proposed to address difficulties in recognizing extraordinary LP types with respect to shapes and fonts. The system has been implemented using MATLAB in eight different conditions of illumination in an actual environment to illustrate the efficiency of the proposed method. The total accuracy of this system for all conditions is 96% to 97%.
  • Keywords
    image recognition; object recognition; traffic engineering computing; LPL systems; MATLAB; license plate recognition system; robust LPL method; robust irregular license plate localization method; Accuracy; Histograms; Image edge detection; Licenses; Noise; Region 10; Shape; Blob analysis; Histogram equalization; Median filter Morphological operators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Region 10 Symposium, 2014 IEEE
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-2028-0
  • Type

    conf

  • DOI
    10.1109/TENCONSpring.2014.6863109
  • Filename
    6863109