A feature selection technique for classificatory analysis

Authors:
Amir Ahmad;Lipika Dey
Affiliations:
Solid State Physics Laboratory, Timarpur, Delhi 110054, India;Department of Mathematics, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India
Venue:
Pattern Recognition Letters
Year:
2005

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Abstract

The state-of-the-art in human face recognition is the subspace methods originated by the Principal Component Analysis (PCA), the Eigenfaces of the facial images. Recently, a technique called Two-dimensional PCA (2DPCA) was proposed for human face representation ...