.: Click here to download :.
The use of biometric signatures, instead of tokens such as
identification cards or computer passwords, continues to gain
increasing attention as an efficient means of identification and
verification of individuals for controlling access to secured areas,
materials, or systems and a wide variety of biometrics has been
considered over the years in support of these challenges. Iris
recognition is especially attractive due to the stability of the
iris texture patterns with age and health conditions. Iris image
segmentation and localisation is a key step in iris recognition and
plays an essential role the accuracy of matching. We have developed a
fast and accurate scheme for iris segmentation. On CASIA Iris
Database the average time required for iris detection is
0.1901 seconds.
By adopting an hybrid scheme for features extraction
we have achieved an excellent recognition rate of 97.6852% (108
classes, 3 training images and 4 test images for each class, hence
there are 324 training images and 432 test images with no overlap
between the training and test images).
Index Terms: Matlab, source, code, iris, recognition, segmentation, detection, verification, matching.
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Figure 1. Iris acquisition device |
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A simple and effective source code for Hybrid Iris Recognition. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox, Matlab Wavelet Toolbox and Matlab Signal Processing Toolbox are required. |
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Release |
Date |
Major features |
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1.0 |
2008.11.24 |
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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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Hybrid Iris Recognition - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 250 EUROS (less
than 350 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 Hybrid Iris 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, Matlab Wavelet Toolbox and Matlab Signal Processing 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.
