Абстрактный

Kernel Fisher Analysis Based Feature Extraction for Face Recognition Using Euclidean Classifier

M.Manimozhi, S.Sangeetha, M.Malarvizhi, S.Mohamed Nizar

Face recognition is one of the important factors in this real situation.The kernel approach has been proposed to solve face recognition problem (by mapping input space to high dimensional feature space).Algorithm such as KFA (Kernel Fisher Analysis), preprocessing and training the images and classify using classifier for the images taken from ORL dataset. Euclidean Classifier is used for recognition. The advantage of MATLAB software is chosen to implement the analysis.