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

Author

Kim, Sang Kyoon ; Kim, Due Wook ; Kim, Hang Joon

Author_Institution

Dept. of Comput. Eng., Kyungpook Nat. Univ., Taegu, South Korea

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

661

Abstract

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

Keywords

distributed algorithms; feature extraction; genetic algorithms; image recognition; image segmentation; object recognition; road vehicles; automatic vehicle identification; distributed genetic algorithm; extraction rate; genetic algorithm based segmentation; image processing; parallel algorithm; plate region extraction; processing time; vehicle images; vehicle license plate recognition; Automotive engineering; Data mining; Genetic algorithms; Genetic engineering; Image converters; Image edge detection; Image segmentation; Licenses; Road vehicles; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560964

Filename

560964