.: Click here to download :.
In recent years, a large number of methods have been investigated for automatic face recognition. Among
others, the sequential approaches received great interest. These mimick the human visual system in its
serial way of recognizing faces, where the face image is explored with a scanning strategy, called a scanpath, in
order to collect a sequence of features. For modeling the sequential data, Hidden Markov Models have shown
to be accurate and effective.
Index Terms: Matlab, source, code, face, facial, recognition, HMM, hidden, markov, models, model.
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Figure 1. HMM face image parameterization |
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A simple and effective source code for HMM Face Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Signal Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2014.06.07 |
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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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HMM Face Recognition System - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 120 EUROS (less
than 168 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 HMM 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 2006a. Matlab Signal 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.
