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