The Face Recognition Using New Feature Vector Composition from Gabor Reponse and K-L Transform

Gabor 응답에 대한 새로운 특징벡터의 구성과 K-L 변환을 이용한 얼굴인식

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.