TY - GEN
T1 - License plate detection system in rainy days
AU - Yoshimori, Seiki
AU - Mitsukura, Yasue
AU - Pukumi, Minora
AU - Akamatsu, Norio
AU - Khosal, Rajiv
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - License plate recognition is very important in an automobile society. However, it is very difficult to do it, because a background and a body color of cars are similar to that of the license plate. Furthermore, the detection of cars in a moving at a very high-speed is difficult to be done. In this paper, we propose a new robust thresholds determination method in the various background by using the real coded genetic algorithm (RGA). By using RGA, the most likely plate colors are decided under various light conditions. First, the average brightness Y values of images are calculated. Next, relationship between the Y value and the most likely plate color thresholds (upper and lower bounds) are obtained by GA to estimate threshold equations by using the recursive least squares (RLS) algorithm. Finally, in order to show the effectiveness of the proposed method, we show simulation examples by using real images.
AB - License plate recognition is very important in an automobile society. However, it is very difficult to do it, because a background and a body color of cars are similar to that of the license plate. Furthermore, the detection of cars in a moving at a very high-speed is difficult to be done. In this paper, we propose a new robust thresholds determination method in the various background by using the real coded genetic algorithm (RGA). By using RGA, the most likely plate colors are decided under various light conditions. First, the average brightness Y values of images are calculated. Next, relationship between the Y value and the most likely plate color thresholds (upper and lower bounds) are obtained by GA to estimate threshold equations by using the recursive least squares (RLS) algorithm. Finally, in order to show the effectiveness of the proposed method, we show simulation examples by using real images.
UR - http://www.scopus.com/inward/record.url?scp=63649114575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63649114575&partnerID=8YFLogxK
U2 - 10.1109/CIRA.2003.1222311
DO - 10.1109/CIRA.2003.1222311
M3 - Conference contribution
AN - SCOPUS:63649114575
T3 - Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
SP - 972
EP - 976
BT - Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
Y2 - 16 July 2003 through 20 July 2003
ER -