Independent component analysis for face authentication
Carmen Havran, Laurent Hupet, J. Czyz, John A. Lee, Luc Vandendorpe, Michel Verleysen · 2002
In this paper, Independent Component Analysis (ICA) is presented as an alternative feature extraction algorithm to Principal Component Analysis (PCA) widely used in automatic face recognition/authentication tasks. We show that the promising ICA algorithm extracts from faces features that are relevant and efficient for authentication. This leads to improved success rates and a reduced client model size over a PCA based feature extraction.