Abstract
In this paper, we propose the face identification method which is robust for lighting based on the feature points method. First of all, the proposed method extracts an edge of facial feature. Then, by the hough transform, it determines ellipse parameters of each facial feature from the extracted edge. Finally, proposed method performs the face identification by using parameters. Even if face image is taken under various lighting condition, it is easy to extract the facial feature edge. Moreover, it is possible to extract a subject even if the object has not appeared enough because this method extracts approximately the parameters by the hough transformation. Therefore, proposed method is robust for the lighting condition compared with conventional method. In order to show the effectiveness of the proposed method, computer simulations are done by using the real images.
Original language | English |
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Pages | 858-861 |
Number of pages | 4 |
Publication status | Published - 2004 Sept 29 |
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 |
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Country/Territory | Canada |
City | Banff, Alta |
Period | 04/6/27 → 04/6/30 |
ASJC Scopus subject areas
- Computer Science(all)
- Mathematics(all)