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BP-Neural Network for Plate Number Recognition

BP-Neural Network for Plate Number Recognition

Jia Wang, Wei Qi Yan
Copyright: © 2016 |Volume: 8 |Issue: 3 |Pages: 12
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781466690264|DOI: 10.4018/IJDCF.2016070103
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MLA

Wang, Jia, and Wei Qi Yan. "BP-Neural Network for Plate Number Recognition." IJDCF vol.8, no.3 2016: pp.34-45. http://doi.org/10.4018/IJDCF.2016070103

APA

Wang, J. & Yan, W. Q. (2016). BP-Neural Network for Plate Number Recognition. International Journal of Digital Crime and Forensics (IJDCF), 8(3), 34-45. http://doi.org/10.4018/IJDCF.2016070103

Chicago

Wang, Jia, and Wei Qi Yan. "BP-Neural Network for Plate Number Recognition," International Journal of Digital Crime and Forensics (IJDCF) 8, no.3: 34-45. http://doi.org/10.4018/IJDCF.2016070103

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Abstract

The License Plate Recognition (LPR) as one crucial part of intelligent traffic systems has been broadly investigated since the boosting of computer vision techniques. The motivation of this paper is to probe in plate number recognition which is an important part of traffic surveillance events. In this paper, locating the number plate is based on edge detection and recognizing the plate numbers is worked on Back-Propagation (BP) Artificial Neural Network (ANN). Furthermore, the authors introduce the system implementation and take advantage of the well-known Matlab platform to delve how to accurately recognize plate numbers. There are 80 samples adopted to test and verify the proposed plate number recognition method. The experimental results demonstrate that the accuracy of the authors' character recognition is above 70%.

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