• DocumentCode
    3229033
  • Title

    Automatic car plate detection and recognition through intelligent vision engineering

  • Author

    Salgado, Luis ; Menéndez, José M. ; Rendón, Enrique ; García, Narciso

  • Author_Institution
    Grupo de Tratamiento de Imagenes, Univ. Politecnica de Madrid, Spain
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    71
  • Lastpage
    76
  • Abstract
    License plate recognition systems are becoming the key to many traffic related applications such as road traffic monitoring or parking lot access control. In this paper, a software and hardware architecture implemented in the ESPRIT 5184 LOCOMOTIVE project for automatic vehicle plate number identification is presented. The system, developed in order to dynamically recognize symbol clusters on moving objects, integrates different computer vision techniques related to intrusion detection and automatic pattern recognition in slightly controlled environments, keeping real time operation
  • Keywords
    automated highways; computerised monitoring; image recognition; real-time systems; road traffic; software architecture; traffic engineering computing; ESPRIT 5184 LOCOMOTIVE project; automatic car plate detection; automatic car plate recognition; automatic pattern recognition; automatic vehicle plate number identification; computer vision techniques; dynamic symbol cluster recognition; hardware architecture; intelligent vision engineering; intrusion detection; license plate recognition systems; moving object; parking lot access control; real time operation; road traffic monitoring; slightly controlled environments; software architecture; Access control; Application software; Computer architecture; Computer vision; Computerized monitoring; Hardware; Licenses; Pattern recognition; Roads; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 1999. Proceedings. IEEE 33rd Annual 1999 International Carnahan Conference on
  • Conference_Location
    Madrid
  • Print_ISBN
    0-7803-5247-5
  • Type

    conf

  • DOI
    10.1109/CCST.1999.797895
  • Filename
    797895