.: Click here to download :.
Research on automatic face recognition in images has rapidly developed into
several inter-related lines, and this research has both lead to and
been driven by a disparate and expanding set of commercial
applications. The large number of research activities is evident in
the growing number of scientific communications published on
subjects related to face processing and recognition.
Index Terms: face, recognition, eigenfaces, eigenvalues,
eigenvectors, Karhunen-Loeve algorithm.
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Figure 1. Facial image |
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A simple and effective source code for Face Recognition. All tests were performed on AT&T database. |
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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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2.1 |
2006.01.21 |
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2.0 |
2005.05.21 |
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1.0 |
2005.05.15 |
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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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Face Recognition System - Release 2.1 - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 15 EUROS (less than
21 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 Face Recognition System. 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 14 SP1. 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.
