FRICA, face recognition with independent component analysis.
Master's thesis, University of Twente.
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In this report the study on the application of Independent Component Analysis (ICA) to face recognition is presented. The main idea behind using ICA in face recognition is that the independent components form a good description of the faces. This means that by using the components good discrimi
nation between identities can be made. The research is thus based on two main components: ICA and face recognition. In the following section a brief discussion will be held on general face recognition. This description indicates the points of interest when making decisions on the many parameters which come into play when applying ICA to a data set. After that a short description is given identifying were ICA can be used in a face recognition system.
|Item Type:||Master's Thesis|
|Research Group:||EWI-SAS: Signals and Systems|
|Research Project:||BRICKS/PDC1: Security, Identification and Authentication|
|Additional Information:||SAS 25-06|
|Deposited On:||10 August 2007|
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