대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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- Pages.33-36
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- 2001
Gabor 응답에 대한 새로운 특징벡터의 구성과 K-L 변환을 이용한 얼굴인식
The Face Recognition Using New Feature Vector Composition from Gabor Reponse and K-L Transform
초록
We introduce, in this paper, the face recognition method that improves recognition rate and training time in eigen system. To increase recognition rate we use Gabor filter. To reduce the increasing training time owing to use Gabor filtering, we extract new feature vectors that are made with average and standard deviation. In experimental results, we get higher recognition rate and shorter training time in improved system than it in original eigen system.
키워드