.: Click here to download :.
Automatic face recognition is an important yet
challenging problem. This challenge can be attributed to
large intra-subject variations and large inter-user
similarity. Some of the main intra-subject
variations commonly encountered in face recognition are pose, illumination, expression, and aging.
Among these variations, aging variation is now beginning to receive
increasing attention in the face recognition community.
Designing an age-invariant face recognition method is
necessary in many applications, particularly those that require
checking whether the same person has been issued multiple
government documents (e.g., passports and driver license) that
include facial images.
We have developed a fast approach for age invariant face recognition. Code has been successfully tested on
FG-NET Aging Database: the FGNET database is
composed of 1,002 face images from 82 different subjects. In
our experiment, we chose all the face images for performance
evaluation. In order to keep the training data and testing data
separated, the leave-N-out strategy is used in our study.
Index Terms: Matlab, source, code, face, recognition, age, invariant, aging, verification.
 |
Figure 1. Fiducial points |
||||||||||||||
|
A simple and effective source code for Age Invariant Face Recognition System. |
|||||||||||||||
|
|
Demo code (protected
P-files) available for performance evaluation. Matlab and Matlab Neural Network Toolbox are required.
|
||||||||||||||
|
Release |
Date |
Major features |
|||||||||||||
|
1.0 |
2013.01.27 |
|
|||||||||||||
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. |
|||||||||||||||
Age Invariant Face Recognition System. Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 200 EUROS (less
than 280 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 Age Invariant 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 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.
