19 March 2004 Thresholding based on the fuzzy entropy and genetic algorithm of vehicle license plate
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinghui Zhang, Xinghui Zhang, Ling Liu, Ling Liu, Zengqiang Chen, Zengqiang Chen, Zhuzhi Yuan, 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); doi: 10.1117/12.561179; https://doi.org/10.1117/12.561179
PROCEEDINGS
7 PAGES


SHARE
Back to Top