Using the thresholds function method to detect license plates

Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

研究成果: Article査読


License plate recognition is very important technology for regulating an automobile society, However, doing so it is very difficult, because a background and a car surface color can be similar to that of the license plate. Furthermore, detecting license plates when cars are moving at a very high speed is difficult. In this paper, We propose a new method of extracting car license plates automatically by using a real-coded genetic algorithm(RGA). Using the proposed RGA, the most likely plate colors can be detected under various light conditions. First, the average brightness Y value of images are calculated. Next, the retation between the Y value and the most likely plate color thresholds upper and lower bounds are obtained with the RGA to estimate threshold equations. To prove the effectiveness of the proposed method, we describe simulations performed using real images.

ジャーナルKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
出版ステータスPublished - 2005 1月

ASJC Scopus subject areas

  • メディア記述
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学


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