License Plate Recognition Based on Neural Network Algorithm to Improve Research

De Yong Liu; Hong Song; Quan Pan

doi:10.4028/www.scientific.net/AMR.860-863.2892

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 860-863License Plate Recognition Based on Neural Network...

License Plate Recognition Based on Neural Network Algorithm to Improve Research

Abstract:

with the development of intelligent transportation technology, which all countries are suitable for their own license plate recognition system is developed. But because of the CCD camera Angle problem will make license plate image tilt; Segmentation after do not match the characters in size and character discontinuity, led to license plate recognition rate is not high, speed slow, reduce the real-time performance of the system. In order to improve the rate of convergence, the recognition rate presents a license plate recognition algorithm based on BP neural network. First put the image correction, segmentation of character normalization processing and eliminate the unfavorable factors, then puts forward characteristics of characters input for training the BP neural network. By setting the network weights and training transfer function, improved algorithm to improve the recognition rate of the system, as well as the real-time performance.

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Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

2892-2897

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.860-863.2892

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Online since:

December 2013

Authors:

De Yong Liu*, Hong Song, Quan Pan

Keywords:

BP Neural Network (BPNN), Character Orientation and Segmentation, Character Pretreatment, Recognition Algorithm

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* - Corresponding Author

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