University of Hertfordshire

By the same authors

Comparison of Real-Time DSP-Based Edge Detection Techniques for License Plate Detection

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


  • 904149

    Accepted author manuscript, 528 KB, PDF document

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Original languageEnglish
Title of host publicationProcs of the 2010 6th Int Conf on Information Assurance and Security (IAS)
ISBN (Print)978-1-4244-7407-3
Publication statusPublished - 2010
Event6th Int Conf on Information Assurance and Security 2010 - Atlanta, United States
Duration: 23 Aug 201025 Aug 2010


Conference6th Int Conf on Information Assurance and Security 2010
Country/TerritoryUnited States


In this paper, edge detection techniques and their performance are compared when applied in license plate detection using an embedded digital signal processor. License plate detection remains to be the crucial part of a vehicle’s license plate recognition process. The edge detection algorithms compared in this work are those reported capable of delivering real-time performance. These are Canny-Deriche-FGL, Haar and Daubechies-4 wavelet transform and the classic Sobel. These particular algorithms are chosen and compared due to their good performance on digital signal processors. The comparison is drawn in terms of speed and detection success of a license plate. The results show Haar wavelet-based edge detector performs better on a DSP with LP detection speed of 7.32 ms and 98.6% success using 45,032 UK images containing license plates at 768X288 resolutions.


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