• DocumentCode
    3166246
  • Title

    Automatic Number Plate Recognition for Australian Conditions

  • Author

    Hamey, Leonard G C ; Priest, Colin

  • Author_Institution
    Macquarie University
  • fYear
    205
  • fDate
    6-8 Dec. 205
  • Firstpage
    14
  • Lastpage
    14
  • Abstract
    We consider the task of recognition of Australian vehicle number plates (also called license plates or registration plates in other countries). A system for Australian number plate recognition must cope with wide variations in the appearance of the plates. Each state uses its own range of designs with font variations between the designs. There are special designs issued for significant events such as the Sydney 2000 Olympic Games. Also, vehicle owners may place the plates inside glass covered frames or use plates made of non-standard materials. These issues compound the complexity of automatic number plate recognition, making existing approaches inadequate. We have developed a system that incorporates a novel combination of image processing and artificial neural network technologies to successfully locate and read Australian vehicle number plates in digital images. Commercial application of the system is envisaged.
  • Keywords
    Access control; Australia; Digital images; Humans; Image edge detection; Law enforcement; Monitoring; Optical character recognition software; Petroleum; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications, 2005. DICTA '05. Proceedings 2005
  • Conference_Location
    Queensland, Australia
  • Print_ISBN
    0-7695-2467-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2005.17
  • Filename
    1587616