Title :
Vehicle License Plate Location Algorithm Based on Gray Level Variation and Color Features
Author :
Luo, Ziwen ; Cao, Jing
Author_Institution :
Comput. & Inf. Eng. Sch., HoHai Univ., Nanjing, China
Abstract :
License plate recognition system is an important part of intelligent transportation system, while the vehicle license plate location is the key of it. In this paper, a new algorithm is proposed on the basis of gray level variation and color features to reduce the error location of the license plate. Experimental results illustrates that the algorithm is robust and can increase the location accuracy distinctly.
Keywords :
automated highways; image colour analysis; color features; error location; gray level variation; intelligent transportation system; vehicle license plate location algorithm; Automotive engineering; Intelligent systems; Intelligent transportation systems; Intelligent vehicles; Licenses; Neural networks; Pixel; Road transportation; Road vehicles; Robustness;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5302315
