.: Click here to download :.
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.
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Figure 1. SVD-based reconstructed face |
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A simple and effective source code for SVD-Based Face Recognition. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.
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Release |
Date |
Major features |
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1.0 |
2010.07.12 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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SVD-Based Face Recognition. Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 60 EUROS (less
than 84 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of SVD-Based Face Recognition. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 2006a. Matlab Image Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
