Title :
Color analysis for Chinese car plate recognition
Author :
Jianfeng, Xu ; Shaofa, Li ; Zhibin, Chen
Author_Institution :
Dept. of Comput. Sci., South China Univ. of Technol., Guangzhou, China
Abstract :
License plate recognition (LPR) has many applications in traffic systems. In this paper, a color analysis method for Chinese car plate recognition is proposed. A neural network is used as a classifier to identify pixel color. The color analysis method can remove error candidate car plate regions effectively.
Keywords :
automobiles; character recognition; feature extraction; image colour analysis; image recognition; neural nets; road traffic; Chinese car plate recognition; color analysis method; license plate recognition; neural network; pixel color identification; traffic systems; Application software; Character recognition; Computer errors; Computer science; Data mining; Image color analysis; Licenses; Monitoring; Neural networks; Vehicles;
Conference_Titel :
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-7925-X
DOI :
10.1109/RISSP.2003.1285782
