Title :
An approach to Korean license plate recognition based on vertical edge matching
Author :
Yu, Mei ; Kim, Yong Deak
Author_Institution :
Ajou Univ., Suwon, South Korea
Abstract :
License plate recognition (LPR) has many applications in traffic monitoring systems. In this paper, a vertical edge matching based algorithm to recognize a Korean license plate from an input gray-scale image is proposed. The algorithm is able to recognize license plates in normal shape, as well as plates that are out of shape due to the angle of view. The proposed algorithm is fast enough and the recognition unit of the LPR system can be implemented only in software so that the cost of the system is reduced
Keywords :
automated highways; computer vision; edge detection; image matching; optical character recognition; Korea; angle of view; edge detection; gray-scale image; traffic monitoring systems; vehicle license plate recognition; vertical edge matching; Color; Data mining; Gray-scale; Image edge detection; Image processing; Image segmentation; Licenses; Monitoring; Shape; Vehicles;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884453
