Edge detection comparison for license plate detection

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    Abstract

    The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected component analysis to extract license plate region. The experimental comparison of Canny, Kirsch, Rothwell, Sobel, Laplace and SUSAN edge detectors on gray scale images shows that Canny yields high plate detection of 98.2% tested on 45,032 UK images containing license plates at 720×288 resolution captured under various illumination conditions. The average processing time of one image is 56.4 ms.
    Original languageEnglish
    Title of host publicationProcs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages1133-1138
    ISBN (Print)978-1-4244-7814-9
    DOIs
    Publication statusPublished - 2010
    Event2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV) - Singapore, Singapore
    Duration: 7 Dec 201010 Dec 2010

    Conference

    Conference2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)
    Country/TerritorySingapore
    CitySingapore
    Period7/12/1010/12/10

    Keywords

    • connected component analysis (CCA)
    • edge detection
    • license plate (LP)

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