2-304 遺伝的閾値決定法を用いた車のナンバープレート検出

概要

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License plate recognition is very important in a 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 value of images are calculated. Next, retationship between the Y value and the most likely plated 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.
一般社団法人日本機械学会の論文
2002-11-14