• DocumentCode
    2304681
  • Title

    Recognition of Arabic License Plates using NN

  • Author

    Zidouri, Abdelmalek ; Deriche, Mohammed

  • Author_Institution
    Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran
  • fYear
    2008
  • fDate
    23-26 Nov. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    License plate recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated on real images of vehicles captured under various illumination conditions. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads. The automatic identification of vehicles by the contents of their license plates is important in private transport applications.
  • Keywords
    character recognition; feature extraction; image segmentation; natural languages; neural nets; object recognition; road traffic; road vehicles; traffic engineering computing; GCC license plate extraction; automatic Arabic license plate recognition system; automatic traffic rule monitoring; automatic vehicle identification; illumination condition; image segmentation; neural network; parking lots access control; private transport application; public road law enforcement; Access control; Character recognition; Computerized monitoring; Image recognition; Law enforcement; Licenses; Lighting; Neural networks; Roads; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing Theory, Tools and Applications, 2008. IPTA 2008. First Workshops on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4244-3321-6
  • Electronic_ISBN
    978-1-4244-3322-3
  • Type

    conf

  • DOI
    10.1109/IPTA.2008.4743757
  • Filename
    4743757