• DocumentCode
    2196442
  • Title

    A Method of License Plate Location Based on Mathematical Morphology and Corner Detection

  • Author

    Shu-jian Ma ; Zhao, Jian-yu

  • Author_Institution
    Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    257
  • Lastpage
    260
  • Abstract
    In order to reduce the effect of definition differences of the images monitored in all-weather conditions on speed and accuracy of the plate location, a fast license plate locating method is presented using texture and geometric features of license plate. Firstly, binary image is obtained by dynamic binarization. Then, the regions where gray values change frequently are marked initially. After a few mathematical morphology processing, plate region is located by corner detection and geometric features of license plate. Experimental results show that the method can locate the license plate of the image which monitored in all-weather conditions quickly and accurately, and accuracy rate can achieve 98.6% and the average locating time is 0.398s which prove the feasibility and validity of the method.
  • Keywords
    edge detection; feature extraction; image texture; mathematical morphology; traffic engineering computing; binary image; corner detection; dynamic binarization; gray values; license plate geometric features; license plate location method; license plate texture; mathematical morphology; Accuracy; Image color analysis; Image edge detection; Image segmentation; Licenses; Morphology; Pixel; adaptive binarization; corner detection; license plate location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Information Security (NCIS), 2011 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-61284-347-6
  • Type

    conf

  • DOI
    10.1109/NCIS.2011.58
  • Filename
    5948728