• DocumentCode
    143541
  • Title

    Saudi license plate localization using hybrid method

  • Author

    Almustafa, Khaled ; Zantout, Rached

  • Author_Institution
    Coll. of Eng., Prince Sultan Univ., Riyadh, Saudi Arabia
  • fYear
    2014
  • fDate
    13-16 April 2014
  • Firstpage
    236
  • Lastpage
    241
  • Abstract
    In this paper, localizing Saudi license plates in images using the “character recognition” method is described. In this method, all possible objects from the license plate image are filtered to keep only objects which may belong to a Saudi license plate. Filtering is done by checking each object to see whether it is a possible letter or number (in Arabic or English) that could be part of a Saudi license plate. If there exist both Arabic and English patterns that agree, the license plate is recognized. The method correctly localized and recognized Saudi license plates 83.9% of the times. The cases where the method did not work were for noisy images of license plates.
  • Keywords
    character recognition; object tracking; traffic engineering computing; Arabic patterns; English patterns; Saudi license plate localization; character recognition; image filtering; license plate image; Character recognition; Conferences; Educational institutions; Feature extraction; Image recognition; Licenses; Object recognition; Topological relationship; character recognition; license plates localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE
  • Conference_Location
    Beirut
  • Type

    conf

  • DOI
    10.1109/MELCON.2014.6820538
  • Filename
    6820538