• DocumentCode
    2244009
  • Title

    The research of vehicle license plate character recognition method based on artificial neural network

  • Author

    Feng, Jianlan ; Li, Yuping ; Chen, Mianzhou

  • Author_Institution
    Huangshi Inst. of Technol., Huangshi, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    Construction of intelligent transportation system is a necessary requirement for the development of transport, and LPR(License Plate Recognition) is an important part of construction of intelligent transportation system, Therefore, the research of license plate recognition method is of importance. The license plate character is recognized by building BP artificial neural network in this paper, it simplifies data analysis and mathematical model compare with template matching method, thus the recognition accuracy and run speed has greatly improved. the character having extracted complete characteristic value can be recognized in good result.
  • Keywords
    backpropagation; character recognition; image matching; neural nets; traffic engineering computing; BP artificial neural network; data analysis; intelligent transportation system; mathematical model; template matching method; vehicle license plate character recognition method; Artificial intelligence; Artificial neural networks; Buildings; Character recognition; Data analysis; Data mining; Intelligent transportation systems; Licenses; Mathematical model; Vehicles; BP artificial neural network; Character recognition; Network training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456536
  • Filename
    5456536