Title :
License plate surveillance system using weighted template matching
Author :
Ko, Mi-Ae ; Kim, Young-Mo
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., KyungPook Nat. Univ., Daegu, South Korea
Abstract :
This paper presents a simple and robust algorithm for vehicle´s license plate recognition system. Based on template matching, this algorithm can be applied for real time recognition of license plates for vehicle surveillance system. The working principle is weight feature based hierarchical template evaluation. The performance of the proposed system has been evaluated on images acquired in real traffic conditions.
Keywords :
character recognition; image matching; image recognition; road traffic; road vehicles; surveillance; character recognition; robust algorithm; traffic conditions; vehicle license plate recognition system; vehicle license plate surveillance system; weighted template matching; Character recognition; Computer science; Image recognition; Licenses; Pattern matching; Pattern recognition; Real time systems; Robustness; Surveillance; Vehicles;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. 32nd
Print_ISBN :
0-7695-2029-4
DOI :
10.1109/AIPR.2003.1284283
