Title :
License Plate Recognition algorithm based on derived kernel
Author :
Zhang, Zhen Chao ; Tang, Yuan Yan
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Macau, Macau, China
Abstract :
License Plate Recognition (LPR) plays an important role on the traffic monitoring and parking management. In this paper, an updated algorithm is applied into the vehicle license plate identification, which is mainly based on derived kernel through visual cortex. With the two-layer derived kernel on neural response and first nearest classification method applied to character and numeral recognition, the errors caused by blur and noise can be reduced, so that the recognition accuracy can be improved on a certain of complex and unclear circumstance.
Keywords :
character recognition; image classification; object recognition; traffic engineering computing; LPR; blur; character recognition; license plate recognition algorithm; nearest classification method; neural response; noise; numeral recognition; parking management; traffic monitoring; two-layer derived kernel; vehicle license plate identification; visual cortex; Accuracy; Algorithm design and analysis; Character recognition; Kernel; Licenses; Vehicles; Classification; Derived Kernel; License Plate Processing; License Plate Recognition; Neural Response;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1534-0
DOI :
10.1109/ICWAPR.2012.6294785
