• DocumentCode
    3337313
  • Title

    Application of neural network techniques to automatic licence plate recognition

  • Author

    Tindall, D.W.

  • Author_Institution
    Racal Res. Ltd., Reading, UK
  • fYear
    1995
  • fDate
    16-18 May 1995
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    With the ever-increasing cost and inconvenience of traffic congestion all around the world, many initiatives for effective control of traffic have been proposed or are undergoing trials. Intelligent transport management systems, which include video recording and analysis, are being applied to the enforcement of traffic regulations, such as speed violation and red traffic light infringement, road use surveys, road tolling and car park security. This paper addresses the problems associated with the capture and analysis of vehicle licence plate information from standard CCTV cameras, and a solution to effective character recognition which offers the potential for licence plate recognition in a multinational licence plate environment
  • Keywords
    closed circuit television; image recognition; neural nets; optical character recognition; road traffic; road vehicles; security; traffic control; traffic engineering computing; video recording; CCTV cameras; automatic vehicle licence plate recognition; car park security; character recognition; image analysis; image capture; intelligent transport management systems; multinational licence plate environment; neural network techniques; red traffic light infringement; road tolling; road use surveys; speed violation; traffic control; traffic regulations enforcement; video analysis; video recording;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Security and Detection, 1995., European Convention on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-85296-640-7
  • Type

    conf

  • DOI
    10.1049/cp:19950474
  • Filename
    491544