• DocumentCode
    3048194
  • Title

    Novel and fast algorithms of license plate locations and extractions

  • Author

    Li, Yucheng ; Wang, Mushu

  • Author_Institution
    Dept. of Autom., North China Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    2462
  • Lastpage
    2465
  • Abstract
    For the limitation of current license plate location algorithms, present an algorithm of the license plate location based on image energy and its practical formulas. Introduce the algorithm of extraction and methods to verify region of license plate. It takes full advantage of characteristics of the license plate, such as complicated textures, sharp-cut contrast and so on. It also has the advantages to avoid the difficulty to choose a threshold and the influence of colors changes due to light. A large number of experiments demonstrate that the algorithm is of higher accuracy and of fast speed.
  • Keywords
    feature extraction; image recognition; image texture; feature extraction algorithm; image energy; image textures; license plate location fast algorithm; sharp cut contrast; Automation; Character recognition; Color; Data mining; Image recognition; Image segmentation; Instruments; Intelligent systems; Licenses; Vehicles; image energy; license plate extraction; license plate location; license plate texture;
  • 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.2010.5512273
  • Filename
    5512273