Title :
License Plate Location Based on Multi Agent Systems
Author :
Ebrahimi, M. ; Monsefi, R. ; Ildarabadi, S. ; Akbarzadeh, M.R. ; Habini, M.
Author_Institution :
Azad Univ., Falavarjan
fDate :
June 29 2007-July 2 2007
Abstract :
In this paper, a new algorithm for vehicle license plate location is proposed, on the basis of multi agent systems. The algorithm was tested with 400 natural-scene gray-level vehicle images of different backgrounds and ambient illumination. The camera focused in the plate, while the angle of view and the distance from the vehicle varied according to the experimental setup. The license plates properly segmented about 99 percent of input images (99%).
Keywords :
driver information systems; multi-agent systems; multiagent systems; natural-scene gray-level vehicle images; vehicle license plate location; Automotive engineering; Gabor filters; Genetic programming; Image analysis; Image color analysis; Image segmentation; Image texture analysis; Licenses; Two dimensional displays; Vehicles; Image processing; license plate location (LPL); machine vision; multi agent system;
Conference_Titel :
Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
Conference_Location :
Budapest
Print_ISBN :
1-4244-1147-5
Electronic_ISBN :
1-4244-1148-3
DOI :
10.1109/INES.2007.4283690
