Comparative Analysis of Curvelets Based Face Recognition Methods

Abstract—This paper describes a comparative analysis of face recognition methods Principle Component Analysis(PCA),Linear Discriminant Analysis(LDA) and Independent Component Analysis(ICA) based on curvelet transform. Curvelet transform is multiresolution analysis method to improve directional elements with anisotropy and better ability to represent sparesely edges and other singularities along curves.This research aims to compare different face recognition techniques based on curvelet transform. All these algorithms are tested on ORL Database. The feasibility of these algorithms for human face identification is presented through experimental investigation. Face recognition algorithms are used in a wide range of applications viz., security control, crime investigation, and entrance control in buildings, access control at automatic teller machines, passport verification etc..,

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