Thresholding based on the fuzzy entropy and genetic algorithm of vehicle license plate

Xinghui Zhang; Ling Liu; Zengqiang Chen; Zhuzhi Yuan

doi:10.1117/12.561179

19 March 2004 Thresholding based on the fuzzy entropy and genetic algorithm of vehicle license plate

Xinghui Zhang, Ling Liu, Zengqiang Chen, Zhuzhi Yuan

Proceedings Volume 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry; (2004) https://doi.org/10.1117/12.561179
Event: Fourth International Conference On Virtual Reality and Its Applications in Industry, 2003, Tianjin, China

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.

Citation Download Citation

Xinghui Zhang, Ling Liu, Zengqiang Chen, and Zhuzhi Yuan "Thresholding based on the fuzzy entropy and genetic algorithm of vehicle license plate", Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); https://doi.org/10.1117/12.561179

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