• DocumentCode
    2535228
  • Title

    A license plate localization using morphology and recognition

  • Author

    Babu, C. Nelson Kennedy ; Nallaperumal, Krishnan

  • Author_Institution
    CMS Coll. of Eng. & Technol., Namakkal
  • Volume
    1
  • fYear
    2008
  • fDate
    11-13 Dec. 2008
  • Firstpage
    34
  • Lastpage
    39
  • Abstract
    Locating the car license plate in an image a car is an important step in car license plate recognition/identification applications. This problem poses many challenges like location of license plate from images taken in poor illumination and bad weather condition; plates that are partly obscured by dirt and images that have low contrast. This paper presents a morphology based method for license plate extraction from car images followed by the segmentation of characters and reorganization. This algorithm uses morphological operations on the preprocessed, edge images of the vehicles. Characteristic features such as license plate width and height, character height and spacing are considered for defining structural elements for morphological operations. The recognition of the contents of the license plate is performed using cross correlation followed by neural network. The experimental results with a reasonably large set of car images are very encouraging.
  • Keywords
    correlation methods; edge detection; feature extraction; image segmentation; mathematical morphology; neural nets; Intelligent Transport System; car license plate identification; car license plate localization; car license plate recognition; cross correlation; license plate extraction; morphology; neural network; Collision mitigation; Head; Humans; Image edge detection; Image recognition; Image segmentation; Licenses; Morphological operations; Morphology; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference, 2008. INDICON 2008. Annual IEEE
  • Conference_Location
    Kanpur
  • Print_ISBN
    978-1-4244-3825-9
  • Electronic_ISBN
    978-1-4244-2747-5
  • Type

    conf

  • DOI
    10.1109/INDCON.2008.4768797
  • Filename
    4768797