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Proceedings Paper

Thresholding based on the fuzzy entropy and genetic algorithm of vehicle license plate
Author(s): Xinghui Zhang; Ling Liu; Zengqiang Chen; Zhuzhi Yuan
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Paper Abstract

The original vehicle license plate images, acquired by black and white camera, are gray level images. In order to facilitate the location of the characters into the license plate, a threshold technique could be applied. However, the images are not uniformly illuminated and have much noisy, it is difficult to find automatically a good threshold that allows the various characters to be isolated from the background. In this paper fuzzy entropy based on both the gray information and Shannon's function, and the fitness function based on the minimizing of the fuzzy entropy in the genetic algorithm was used. The experiment result shows the method effective.

Paper Details

Date Published: 19 March 2004
PDF: 7 pages
Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); doi: 10.1117/12.561179
Show Author Affiliations
Xinghui Zhang, Tianjin Univ. of Technology and Education (China)
Ling Liu, Tianjin Univ. of Technology and Education (China)
Zengqiang Chen, Nankai Univ. (China)
Zhuzhi Yuan, Nankai Univ. (China)


Published in SPIE Proceedings Vol. 5444:
Fourth International Conference on Virtual Reality and Its Applications in Industry
Jizhou Sun; Zhigeng Pan, Editor(s)

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