Projection-based face recognition has been widely studied during the past two decades. One of the problems is to require a huge storage space to save the face features obtained from training faces. We propose an SVD-based face retrieval system which requires less memory than the PCA, 2DPCA, Fisher, and 2DFisher approaches. The algorithm tested on the famous ORL (AT&T) face database, consisted of 400 112 x 92 gray level face images equally contributed by 40 subjects, achieves 97.5% recognition rate of retrievals.
What's new in version 1.0
ReleaseNovember 19, 2012
Date AddedNovember 19, 2012
Operating SystemsWindows 2003, Windows Vista, Windows 98, Windows Me, Windows, Windows NT, Windows 2000, Windows 8, Windows Server 2008, Windows 7, Windows XP