Title : ( License Plate Location Based on Multi Agent Systems )
Authors: - - , Reza Monsefi , S. Ildarabadi , Mohammad Reza Akbarzadeh Totonchi , M. Habini ,
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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
, Image processing, machine vision, multi agent system, license plate location (LPL)
@inproceedings{paperid:1068584,
author = { -, - and Monsefi, Reza and S. Ildarabadi and Akbarzadeh Totonchi, Mohammad Reza and M. Habini},
title = {License Plate Location Based on Multi Agent Systems},
booktitle = {2007 11th International Conference on Intelligent Engineering Systems},
year = {2007},
location = {Budapest, Hungary},
keywords = {Image processing; machine vision; multi agent
system; license plate location (LPL)},
}
%0 Conference Proceedings
%T License Plate Location Based on Multi Agent Systems
%A -, -
%A Monsefi, Reza
%A S. Ildarabadi
%A Akbarzadeh Totonchi, Mohammad Reza
%A M. Habini
%J 2007 11th International Conference on Intelligent Engineering Systems
%D 2007
