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A recognition of vehicle license plate using a genetic algorithm based segmentation

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3 Author(s)
Sang Kyoon Kim ; Dept. of Comput. Eng., Kyungpook Nat. Univ., Taegu, South Korea ; Dae Wook Kim ; Hang Joon Kim

Extracting a license plate is an important stage in automatic vehicle identification. It is very difficult because vehicle images are usually degraded and processing the images is computationally intensive. We propose a new method to extract the plate region using a distributed genetic algorithm. The algorithm offers robustness in dealing with deformation of vehicle images and inherent parallelism to improve the processing time. A test with seventy images shows an extraction rate of 92.8%, working well within real world situations. This results suggest that the proposed method is pertinent to be put into practical use

Published in:

Image Processing, 1996. Proceedings., International Conference on  (Volume:1 )

Date of Conference:

16-19 Sep 1996

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