• DocumentCode
    2025639
  • Title

    A Morphological-Based License Plate Location

  • Author

    Faradji, Farhad ; Rezaie, Amir Hossein ; Ziaratban, Majid

  • Author_Institution
    Amirkabir Univ. of Technol., Tehran
  • Volume
    1
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    License plate location is an important phase in vehicle license plate recognition for intelligent transport systems. This paper presents a robust and real time method of license plate location. The proposed algorithm consists of some stages. In the first stage, we extract vertical edges of the input image using Sobel mask. In the next stage, histogram analysis is used for finding the candidate regions of license plate. Candidate regions are also verified by defined compact factor. In the last stage, we locate the license plate exactly with some morphological operators. Experiments have been conducted for this algorithm. 400 images taken from various scenes were employed, including diverse angles, different lightening conditions. The algorithm can quickly and correctly detect the region of license plate. The license plate detecting rate of success is 83.50%.
  • Keywords
    automated highways; character recognition; edge detection; feature extraction; mathematical morphology; Sobel mask; defined compact factor; histogram analysis; intelligent transport systems; license plate location; morphological operators; vehicle license plate recognition; vertical edges extraction; Cameras; Histograms; Image edge detection; Intelligent systems; Intelligent vehicles; Licenses; Lighting; Morphological operations; Robustness; Vehicle driving; License plate location; compact factor; morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4378890
  • Filename
    4378890