Shailaja A Patil and Pramod J Deore. Article: Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition. IJCA Proceedings on National Conference on Advances in Communication and Computing NCACC(3):1-5, December 2014. Full text available. BibTeX
@article{key:article, author = {Shailaja A. Patil and Pramod J. Deore}, title = {Article: Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition}, journal = {IJCA Proceedings on National Conference on Advances in Communication and Computing}, year = {2014}, volume = {NCACC}, number = {3}, pages = {1-5}, month = {December}, note = {Full text available} }
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 extraction and dimension reduction. Nearest Neighbour Classifier (NNC) is used for classification. For matching Mahalanobis Cosine (Mahacos) and Cosine (Cos) distance is used.