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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
An Efficient Features - Based License Plate Localization Method
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Hamid Mahini, Shohreh Kasaei, Faezeh Dorri, Fatemeh Dorri, "An Efficient Features - Based License Plate Localization Method," Pattern Recognition, International Conference on, vol. 2, pp. 841-844, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.239,
author = {Hamid Mahini and Shohreh Kasaei and Faezeh Dorri and Fatemeh Dorri},
title = {An Efficient Features - Based License Plate Localization Method},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {841-844},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.239},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - An Efficient Features - Based License Plate Localization Method
SN - 1051-4651
SP841
EP844
A1 - Hamid Mahini,
A1 - Shohreh Kasaei,
A1 - Faezeh Dorri,
A1 - Fatemeh Dorri,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Hamid Mahini, Sharif University of Technology, Iran
Shohreh Kasaei, Sharif University of Technology, Iran
Faezeh Dorri, Amirkabir University of Technology(Tehran Polytechnic), Iran
Fatemeh Dorri, Amirkabir University of Technology(Tehran Polytechnic), Iran
This paper presents a feature-based license plate localization algorithm that copes with multi-object problem in different image capturing conditions. The proposed algorithm is robust against illumination, shadow, scale, rotation, and weather condition. It extracts license plate candidates using edge statistics and morphological operations and removes the incorrect candidates according to the determined features of license plates. We have formed a rather complete database of 269 images in different conditions. The proposed algorithm successfully detecteds the accurate location of the license plates in 96.5% cases, which outperforms the other available approaches in the literature.
Citation:
Hamid Mahini, Shohreh Kasaei, Faezeh Dorri, Fatemeh Dorri, "An Efficient Features - Based License Plate Localization Method," icpr, vol. 2, pp.841-844, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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