loading...
License Plate Surveillance System Using Weighted Template Matching
Washington, DC October 15-October 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.128428332nd Applied Imagery Pattern Recognit ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Mi-Ae Ko, Young-Mo Kim, "License Plate Surveillance System Using Weighted Template Matching," Applied Image Pattern Recognition Workshop,, pp. 269, 32nd Applied Imagery Pattern Recognition Workshop (AIPR'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/AIPR.2003.1284283,
author = {Mi-Ae Ko and Young-Mo Kim},
title = {License Plate Surveillance System Using Weighted Template Matching},
journal ={Applied Image Pattern Recognition Workshop,},
volume = {0},
year = {2003},
isbn = {0-7695-2029-4},
pages = {269},
doi = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.1284283},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Applied Image Pattern Recognition Workshop,
TI - License Plate Surveillance System Using Weighted Template Matching
SN - 0-7695-2029-4
SP
EP
A1 - Mi-Ae Ko,
A1 - Young-Mo Kim,
PY - 2003
KW - null
VL - 0
JA - Applied Image Pattern Recognition Workshop,
ER -
 
Mi-Ae Ko, KyungPook National University, Daegu, Korea
Young-Mo Kim, KyungPook National University, Daegu, Korea
This paper presents a simple and robust algorithm for vehicle's license plate recognition system. Based on template matching, this algorithm can be applied for real time recognition of license plates for vehicle surveillance system. The working principle is weight feature based hierarchical template evaluation. The performance of the proposed system has been evaluated on images acquired in real traffic conditions.
Citation:
Mi-Ae Ko, Young-Mo Kim, "License Plate Surveillance System Using Weighted Template Matching," aipr, pp.269, 32nd Applied Imagery Pattern Recognition Workshop (AIPR'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.