• DocumentCode
    1901079
  • Title

    Strategies for fast license plate number localization

  • Author

    Enyedi, Balázs ; Konyha, Lajos ; Szombathy, Csaba ; Fazekas, Kálmán

  • Author_Institution
    Dept. of Broadband Infocommun. & Electromagn. Theor., Budapest Univ. of Technol. & Econ., Hungary
  • fYear
    2004
  • fDate
    18-18 June 2004
  • Firstpage
    579
  • Lastpage
    584
  • Abstract
    Though several effective image processing algorithms are created nowadays, their application is often limited by huge computation requirements, making real time operation impossible. Generally speaking, algorithms of only higher complexity can provide better and more accurate solutions, but these require significantly more computational time and powerful resources. Procedures based on any kind of segmenting are complicated and diverse, a special example for this is license plate number recognition. Two major issues can be distinguished in license plate number identification, i.e. the localization of the number plate in the picture and the recognition of characters within the identified area, where the country specific signs and registration number types must also be handled. Neither of the tasks mentioned is easy, requiring considerable processing time, but some measurements indicate that finding and extracting characters often takes 20-25 times longer than recognizing them. The localization strategies introduced in the following are intended to reduce this difference.
  • Keywords
    character recognition; image recognition; image segmentation; characters recognition; image processing algorithm; image segmentation; license plate number identification; Area measurement; Cameras; Character recognition; Filtering algorithms; Image edge detection; Image processing; Laboratories; Licenses; Roads; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics in Marine, 2004. Proceedings Elmar 2004. 46th International Symposium
  • Conference_Location
    Zadar, Croatia
  • ISSN
    1334-2630
  • Print_ISBN
    953-7044-02-5
  • Type

    conf

  • Filename
    1356446