• DocumentCode
    263890
  • Title

    Majority voting approach and fuzzy logic rules in license plate recognition process

  • Author

    Kassymkhanova, Dana ; Kurochkin, Dmitriy ; Denissova, Natalya ; Kumargazhanova, Saule ; Tlebaldinova, Aizhan

  • Author_Institution
    D. Serikbayev EKSTU, Oskemen, Kazakhstan
  • fYear
    2014
  • fDate
    15-17 Oct. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This article discusses common approaches to the development of ANPR systems. The main idea of the article is the parallel use of several different classifiers for OCR and fusion of obtained data for improving the recognition accuracy.
  • Keywords
    fuzzy logic; image classification; image fusion; optical character recognition; ANPR systems; OCR; automatic number plate recognition; classifiers; data fusion; fuzzy logic rules; license plate recognition process; majority voting approach; optical character recognition; Accuracy; Cameras; Character recognition; Feature extraction; Licenses; Optical character recognition software; Support vector machine classification; ANPR; OCR; classification; feature extraction;
  • 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.2014.7035933
  • Filename
    7035933
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=263890