• DocumentCode
    2230610
  • Title

    A vehicle license plate recognition algorithm in night based on HSV

  • Author

    Wanli, Feng ; Shangbing, Gao

  • Author_Institution
    Sch. of Comput. Sci., Huaiyin Inst. of Technol., Huaiyin, China
  • Volume
    4
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    In night, it is difficult to locate vehicle license plate for vehicle recognition. In this paper, the algorithm uses colorful component in HSV space depending on the character of vehicle images in night, can divide the vehicle- plate region and many noises including vehicle- lamp and it´s reflection light and road- line, and can delete the region without similar color of vehicle plate but with higher saturation value.And the paper stresses the improvement on “maximum & minimum optimization of entropy thresholding method” as well as the prospects of regional character, the background distribution in the traditional character segmentation algorithm. The experimental result shows that the method is simple and fast, and it decreases the conglutination between the characters but also reduce the isolated noise point. The recognition quality of system is as good as what we expected.
  • Keywords
    character recognition; entropy; image recognition; optimisation; HSV space; background distribution; character segmentation; entropy thresholding method; maximum optimization; minimum optimization; vehicle license plate recognition; vehicle recognition; Image color analysis; Image segmentation; Maximum & Minimum Segment; hue component; nighttime image; saturation component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579639
  • Filename
    5579639