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LICENSE PLATE RECOGNITION ALGORITHM BASED ON DERIVED KERNEL
ZHEN CHAO ZHANG; YUAN YAN TANG
2012-10-29
Conference NameProceedings of the 2012 International Conference on Wavelet Analysis and Pattern Recognition
Source PublicationInternational Conference on Wavelet Analysis and Pattern Recognition
Pages238-243
Conference Date15-17 July, 2012
Conference PlaceXian
CountryChina
PublisherIEEE
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. 

KeywordClassification Derived Kernel License Plate Processing License Plate Recognition Neural Response
DOIhttps://doi.org/10.1109/ICWAPR.2012.6294785
URLView the original
Language英语
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationDepartment of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
ZHEN CHAO ZHANG,YUAN YAN TANG. LICENSE PLATE RECOGNITION ALGORITHM BASED ON DERIVED KERNEL[C]:IEEE,2012:238-243.
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