Using the thresholds function method to detect license plates

Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)115-122
Number of pages8
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Issue number1
Publication statusPublished - 2005 Jan
Externally publishedYes

ASJC Scopus subject areas

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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