Face Recognition Technology

Singular Value Decomposition for Biometric Recognition

Download now Matlab source code
Requirements: Matlab, Matlab Image Processing Toolbox.

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 × 92 gray level face images equally contributed by 40 subjects, achieves 97.5% recognition rate of retrievals.

Index Terms: Matlab, source, code, face, identification, authentication, recognition, SVD, singular, value, decomposition.

Release 1.0 Date 2010.07.12
Major features:

• Face recognition based on SVD
• Customizable code
• Easy and intuitive GUI
• High speed face matching
• Demo code (protected P-files) available for performance evaluation