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Proceedings Paper

Optoelectronic hybrid license plate recognition system
Author(s): Wenyi Feng; Yingbai Yan; Guofan Jin; Minxian Wu; Qingsheng He
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Paper Abstract

The technique of license plate recognition is important for traffic management's intelligentizing. A novel real time opto- electronic hybrid system is proposed and constructed for license plate recognition in this paper. A software algorithm accomplishes the extraction of characters from a license plate image. An optical coprocessor of correlation identification based on volume holographic storage and wavelet transform is developed to recognize the characters. Wavelet transform is introduced to improve the recognition accuracy. Its comparison with the conventional correlation is studied. Because the system can make a multichannel processing instantly in parallel, it is faster and more accurate than other systems for the license plate recognition. The feasibility of the system is testified by experimental results.

Paper Details

Date Published: 18 October 1999
PDF: 8 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365881
Show Author Affiliations
Wenyi Feng, Tsinghua Univ. (United States)
Yingbai Yan, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)
Qingsheng He, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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