Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition
Shailaja A. Patil, Pramod Jagan Deore · 2014
This paper presents study of face recognition system which is based on Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) [1], [2]. These methods are used for feature extrac-tion and dimension reduction. Nearest Neighbour Classifier (NNC) is used for classification. For matching Mahalanobis Cosine (Ma-hacos) and Cosine (Cos) distance is used. Keywords: