• DocumentCode
    263926
  • Title

    Effective algorithms and methods for automatic number plate recognition

  • Author

    Beibut, Amirgaliyev ; Magzhan, Kairanbay ; Chingiz, Kenshimov

  • Author_Institution
    ABY Appl. Syst., Almaty, Kazakhstan
  • fYear
    2014
  • fDate
    15-17 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nowadays, an automatic number plate recognition (ANPR) system is a key aspect in traffic congestion. This will help to minimize the different kind of violations on the road. Advanced systems for tracking and identifying stolen, unauthorized vehicles are based on automated number plate recognition technology. This paper´s main objectives are to review other methods and propose our own algorithm. A short review is performed on the various methods of number plate recognition algorithms. Further explanations of the proposed algorithm are illustrated in graphical forms to show how the algorithm works. This paper concluded with tests and evaluation results.
  • Keywords
    optical character recognition; road vehicles; traffic engineering computing; ANPR system; advanced system; automated number plate recognition technology; automatic number plate recognition system; number plate recognition algorithm; stolen unauthorized vehicle; traffic congestion; Character recognition; Image edge detection; Image segmentation; Licenses; Morphology; Optical character recognition software; Vehicles; Automatic number plate recognition; optical character recognition; plate area; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
  • Conference_Location
    Astana
  • Print_ISBN
    978-1-4799-4120-9
  • Type

    conf

  • DOI
    10.1109/ICAICT.2014.7035951
  • Filename
    7035951