DocumentCode :
2090598
Title :
Study on Object Location Fusion Algorithm of Actual License Plate Images
Author :
Wang, Mei ; Su, Guangda ; Wang, Guohong
Author_Institution :
Naval Aeronaut. Eng. Inst., Yantai, China
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
46
Lastpage :
49
Abstract :
The vehicle license plate (VLP) location is the key technique of the vehicle license plate recognition system. The region of license plate has rich edge information and fixed color feature. The location method fusing gray edge and color feature is more accurate and easier than the method only in gray space or in color space. The experiments on 200 Chinese automobile RGB real color images taken from traffic stations under various conditions show that the correct location rate is over 99 percent.
Keywords :
edge detection; image colour analysis; object recognition; traffic engineering computing; edge information; fixed color feature; gray edge fusing; license plate images; object location fusion algorithm; vehicle license plate location; vehicle license plate recognition system; Aerospace engineering; Color; Computer science; Data mining; Educational institutions; Humans; Image edge detection; Image segmentation; Licenses; Vehicles; Vehicle license plate location; color feature; edge; fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
Type :
conf
DOI :
10.1109/ISCSCT.2008.8
Filename :
4731371
Link To Document :
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