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Proceedings Paper

New car plate recognition method based on fuzzy entropy
Author(s): Qing-chuan Tao; Xiaohai He; Deyuan Tao
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Paper Abstract

A new method for the car plate extraction and recognition is presented in this paper. First, the segmentation technique, based on multiple threshold values determined by fuzzy entropy and the prior knowledge on car plate character, is used to extract the car plates, which has strong anti-noise capability, and is able to locate the car plates quickly in the varying backgrounds. Then, a recognition method combining the several recognizers is proposed to recognize the car plate characters. The recognition rates of over 97% under various illumination conditions in real applications shows that the proposed method is effective and reliable for car plate recognition.

Paper Details

Date Published: 13 September 2002
PDF: 5 pages
Proc. SPIE 4922, Color Science and Imaging Technologies, (13 September 2002); doi: 10.1117/12.483130
Show Author Affiliations
Qing-chuan Tao, Sichuan Univ. (China)
Xiaohai He, Sichuan Univ. (China)
Deyuan Tao, Sichuan Univ. (China)

Published in SPIE Proceedings Vol. 4922:
Color Science and Imaging Technologies
Dazun Zhao; Ming Ronnier Luo; Kiyoharu Aizawa, Editor(s)

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