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Proceedings Paper

Realization for Chinese vehicle license plate recognition based on computer vision and fuzzy neural network
Author(s): Yun Yang; Weigang Zhang; Pan Guo
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Paper Abstract

The proposed approach in this paper is divided into three steps namely the location of plate, the segmentation of the characters and the recognition of the characters. The location algorithm is firstly consisted of two video captures to get high quality images, and estimates the size of vehicle plate in these images via parallel binocular stereo vision algorithm. Then the segmentation method extracts the edge of vehicle plate based on second generation non-orthogonal Haar wavelet transformation, and locates the vehicle plate according to the estimated result in the first step. Finally, the recognition algorithm is realized based on the Radial Basis Function Fuzzy Neural Network. Experiments have been conducted for real images. The results show this method can decrease the error recognition rate of Chinese license plate recognition.

Paper Details

Date Published: 22 July 2010
PDF: 6 pages
Proc. SPIE 7749, 2010 International Conference on Display and Photonics, 77491G (22 July 2010); doi: 10.1117/12.870244
Show Author Affiliations
Yun Yang, Chang'An Univ. (China)
Weigang Zhang, Chang'An Univ. (China)
Pan Guo, Chang'An Univ. (China)


Published in SPIE Proceedings Vol. 7749:
2010 International Conference on Display and Photonics

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