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2008 Second International Conference on Future Generation Communication and Networking
The Performance Improvement of License Plate Recognition System Using Composite Color and Artificial Hippocampus Algorithm
December 13-December 15
ISBN: 978-0-7695-3431-2
ASCII Text
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Hye-Youn Lim, Young-Do Lim, Dae-Seong Kang, "The Performance Improvement of License Plate Recognition System Using Composite Color and Artificial Hippocampus Algorithm," Future Generation Communication and Networking, vol. 2, pp. 82-85, 2008 Second International Conference on Future Generation Communication and Networking, 2008.
 
 
BibTex
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@article{ 10.1109/FGCN.2008.135,
author = {Hye-Youn Lim and Young-Do Lim and Dae-Seong Kang},
title = {The Performance Improvement of License Plate Recognition System Using Composite Color and Artificial Hippocampus Algorithm},
journal ={Future Generation Communication and Networking},
volume = {2},
year = {2008},
isbn = {978-0-7695-3431-2},
pages = {82-85},
doi = {http://doi.ieeecomputersociety.org/10.1109/FGCN.2008.135},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Future Generation Communication and Networking
TI - The Performance Improvement of License Plate Recognition System Using Composite Color and Artificial Hippocampus Algorithm
SN - 978-0-7695-3431-2
SP82
EP85
A1 - Hye-Youn Lim,
A1 - Young-Do Lim,
A1 - Dae-Seong Kang,
PY - 2008
KW - composite color
KW - histogram
KW - Hippocampus
VL - 2
JA - Future Generation Communication and Networking
ER -
 
The goal of this paper is to improve the performance of a system which recognizes the license plate. In this paper, we suggest the system using composite color and an artificial hippocampus algorithm for license plate recognition. Before extraction with image, the system first operates histogram equalization in pre-processing for the equal distribution of intensity value. After the pre-processing, the system extracts the license plate region using color models which are RGB, HSI and YIQ. The extracted region again is extracted to a letter/number region using horizontal and vertical histograms. Therefore, the system recognizes the letter/number of license plate using artificial hippocampus algorithm. Experimental results with input images are reported to demonstrate the accuracy and robustness of the proposed algorithm.
Index Terms:
composite color, histogram, Hippocampus
Citation:
Hye-Youn Lim, Young-Do Lim, Dae-Seong Kang, "The Performance Improvement of License Plate Recognition System Using Composite Color and Artificial Hippocampus Algorithm," fgcn, vol. 2, pp.82-85, 2008 Second International Conference on Future Generation Communication and Networking, 2008
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