• DocumentCode
    2681583
  • Title

    Study of license plate location system based on SVM

  • Author

    Liu, Yongchun ; Yu, Xiaohong ; Yang, Jing

  • Author_Institution
    Sch. of Autom. & Electron. Inf., Sichuan Univ. of Sci. & Eng., Zigong, China
  • Volume
    5
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    195
  • Lastpage
    198
  • Abstract
    A method for license plate location based on SVM is proposed in this paper. Firstly, the mathematical models of SVM are introduced, and then the feature extractions of license plate image are discussed, finally it is proved that this location method is very precise and efficient by experiments in VC development environment.
  • Keywords
    feature extraction; image processing; mathematical analysis; support vector machines; traffic information systems; SVM; VC development environment; feature extraction; license plate image; license plate location system; mathematical model; support vector machine; Character recognition; Hydrogen; Image recognition; Licenses; Mathematical model; Risk management; Support vector machine classification; Support vector machines; Vehicles; Virtual colonoscopy; Kernel Function; License Plate Location; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5487257
  • Filename
    5487257