Comparison of Real-Time DSP-Based Edge Detection Techniques for License Plate Detection
Jeffrey, Zoe; Bensaali, F.; Ramalingam, S.; Pissanidis, G.
Citation: Jeffrey , Z , Bensaali , F , Ramalingam , S & Pissanidis , G 2010 , Comparison of Real-Time DSP-Based Edge Detection Techniques for License Plate Detection . in Procs of the 2010 6th Int Conf on Information Assurance and Security (IAS) . IEEE , pp. 323-328 , 6th Int Conf on Information Assurance and Security 2010 , Atlanta , United States , 23-25 August . DOI: 10.1109/ISIAS.2010.5604056
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.
"This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”
This item appears in the following Collection(s)
Your requested file is now available for download. You may start your download by selecting the following link: test