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《Journal of University of Science and Technology Liaoning》 2010-05
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License plate recognition system with BPNN

SU Ke CHEN Zhi-bin(School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China)  
License plate recognition system(LPRS) is the main part of the intelligent transportation system,and it plays an important role in the contemporary transportation management.Based on VC++ 6.0 platform,the BP neural network is proposed to recognize the Chinese license plate.The proposed scheme consists of four steps: image preprocessing,license plate location,character segmentation and character recognition.In this paper,the experiential knowledge is used to locate the license plate,and two thresholds are introduced to segment the character,and the 13-point feature extraction is used to extract the eigenvector.The experimental results show the proposed algorithm is effective to solve the problem.
【CateGory Index】: TP391.41
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