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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
A hybrid License Plate Extraction Method Based On Edge Statistics and Morphology
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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Bai Hongliang, Liu Changping, "A hybrid License Plate Extraction Method Based On Edge Statistics and Morphology," Pattern Recognition, International Conference on, vol. 2, pp. 831-834, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334387,
author = {Bai Hongliang and Liu Changping},
title = {A hybrid License Plate Extraction Method Based On Edge Statistics and Morphology},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2004},
issn = {1051-4651},
pages = {831-834},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334387},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - A hybrid License Plate Extraction Method Based On Edge Statistics and Morphology
SN - 1051-4651
SP831
EP834
A1 - Bai Hongliang,
A1 - Liu Changping,
PY - 2004
KW - edge Detection
KW - hierarchical-based license plate location
KW - morphology
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Bai Hongliang, Chinese Academy of Sciences, China
Liu Changping, Chinese Academy of Sciences, China
This paper presents a hybrid license plate extraction algorithm based on the edge statistics and morphology for monitoring the highway ticketing systems. The method can improve the location rate only by the edge statistics. The proposed approach can be divided into four sections, which are, vertical edge detection, edge statistical analysis, hierarchical-based license plate location, and morphology-based license plate extraction. The algorithm can quickly and correctly detect the region of vehicle license plates. Under the experiment databases, which were taken from real scene, 9786 from 9825 images are successfully detected. The average accuracy of locating vehicle license plate is 99.6%.
Index Terms:
edge Detection, hierarchical-based license plate location, morphology
Citation:
Bai Hongliang, Liu Changping, "A hybrid License Plate Extraction Method Based On Edge Statistics and Morphology," icpr, vol. 2, pp.831-834, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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