University of Hertfordshire

By the same authors

Edge detection comparison for license plate detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • 905350

    Accepted author manuscript, 630 KB, PDF document

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Original languageEnglish
Title of host publicationProcs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)
PublisherIEEE
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)
CountrySingapore
CitySingapore
Period7/12/1010/12/10

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.

Notes

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