| dc.contributor.author | Jeffrey, Zoe | |
| dc.contributor.author | Ramalingam, S. | |
| dc.contributor.author | Bekooy, N. | |
| dc.date.accessioned | 2011-10-19T09:01:17Z | |
| dc.date.available | 2011-10-19T09:01:17Z | |
| dc.date.issued | 2010 | |
| dc.identifier.citation | Jeffrey , Z , Ramalingam , S & Bekooy , N 2010 , Edge detection comparison for license plate detection . in Procs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV) . Institute of Electrical and Electronics Engineers (IEEE) , pp. 1133-1138 , 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV) , Singapore , Singapore , 7/12/10 . https://doi.org/10.1109/ICARCV.2010.5707935 | |
| dc.identifier.citation | conference | |
| dc.identifier.isbn | 978-1-4244-7814-9 | |
| dc.identifier.other | dspace: 2299/5768 | |
| dc.identifier.uri | http://hdl.handle.net/2299/6724 | |
| dc.description | “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.” | |
| dc.description.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. | en |
| dc.format.extent | 645470 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.relation.ispartof | Procs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV) | |
| dc.subject | connected component analysis (CCA) | |
| dc.subject | edge detection | |
| dc.subject | license plate (LP) | |
| dc.title | Edge detection comparison for license plate detection | en |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| dc.contributor.institution | Department of Engineering and Technology | |
| dc.contributor.institution | Centre for Engineering Research | |
| dc.contributor.institution | Communications and Intelligent Systems | |
| dc.contributor.institution | Smart Mobility Unit | |
| rioxxterms.versionofrecord | 10.1109/ICARCV.2010.5707935 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
