License plate detection system by using threshold function and improved template matching method

S. Yohimori, Y. Mitsukura, M. Fukumi, N. Akamatsu, W. Pedrycz

研究成果: Paper査読

22 被引用数 (Scopus)

抄録

License plate recognition is very Important In an automobile society. However, it is very difficult to do it, because a background and a car surface color can be similar to that of the license plate. Furthermore, detection of cars moving at a very high-speed is difficult to be done. In this paper, we propose a new method to extract a car license plate automatically by using a genetic algorithm (GA). By using GA, the most likely plate colors are decided under various light conditions. First, the average brightness Y values of images are calculated. Next, relationship between the Y value and the most likely plate color thresholds (upper and lower bounds) are obtained by GA to estimate threshold equations by using the RLS algorithm. Finally, in order to show the effectiveness of the proposed method, we show simulation examples by using real images.

本文言語English
ページ357-362
ページ数6
DOI
出版ステータスPublished - 2004
外部発表はい
イベントNAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies - Banff, Alta, Canada
継続期間: 2004 6月 272004 6月 30

Other

OtherNAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies
国/地域Canada
CityBanff, Alta
Period04/6/2704/6/30

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 数学 (全般)

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