.: Click here to download :.
Wavelet transforms are used to reduce image information redundancy because only a subset
of the transform coefficients are necessary to preserve the most important facial features such as
hair outline, eyes and mouth. We demonstrate experimentally that when Wavelet coefficients are fed into
a backpropagation neural network for classification, a high recognition rate can be achieved by using a
very small proportion of transform coefficients. This makes Wavelet-based face recognition much
more
accurate than other approaches.
The code has been tested with AT&T
database achieving an excellent recognition rate of 97.90% (40 classes, 5
training images and 5 test images for each class, hence there are 200 training images and 200 test images in total
randomly selected and no overlap exists
between the training and test images).
Index Terms: Face recognition, neural networks, feature extraction, wavelet transform, face matching,
face identification, wavelet, ann, artificial neural networks, nn.
 |
Figure 1. Wavelet function |
||||||||||||||
|
A simple and effective source code for Face Identification based on Wavelet and Neural Networks. |
|||||||||||||||
|
|
Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox, Matlab Wavelet Toolbox and Matlab Neural Network Toolbox are required. |
||||||||||||||
|
Release |
Date |
Major features |
|||||||||||||
|
1.0 |
2006.05.29 |
|
|||||||||||||
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. |
|||||||||||||||
Wavelet-ANN Based Face Recognition System - Release 1.0 - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 20 EUROS (less
than 28 U.S. Dollars). |
|||||||||||||||
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 Wavelet-ANN Based Face Recognition System. Alternatively, you can bestow using our banking coordinates:
|
|||||||||||||||
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, Matlab Wavelet Toolbox and Matlab Neural Network Toolbox are 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.
