Abstract
Personal identification provides are important means for realizing a man-machine interface and security products. Recently in the world, many researches for individual identification method using the face are widely done. In the personal identification methods using the face, the feature points method and the pattern matching method are general technology. However, condition of lighting affects recognition accuracy in many cases. In this paper, we propose the face identification method which is robust for lighting based on the feature points method. The proposed method extracts the edge of facial features. Then, it determine oval parameters of each feature from the extracted edge by hough transform. Moreover, in order to show the effectiveness of the proposed method, we show computer simulations by using real images. From these results, we show the effectiveness of the proposed method.
Original language | English |
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Pages (from-to) | 1157-1161 |
Number of pages | 5 |
Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
Volume | 2773 PART 1 |
Publication status | Published - 2003 Dec 1 |
Externally published | Yes |
Event | 7th International Conference, KES 2003 - Oxford, United Kingdom Duration: 2003 Sept 3 → 2003 Sept 5 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)