Abstract
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.
| Original language | English |
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| Pages | 357-362 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies - Banff, Alta, Canada Duration: 2004 Jun 27 → 2004 Jun 30 |
Other
| Other | NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies |
|---|---|
| Country/Territory | Canada |
| City | Banff, Alta |
| Period | 04/6/27 → 04/6/30 |
ASJC Scopus subject areas
- Computer Science(all)
- Mathematics(all)