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Identification of humans through biometric technologies
is becoming common. Different biometric technologies like
finger, face, voice, iris recognition, etc. use different
behavioral or psychological characteristics of humans for
recognition. Early systems used to have password and ID
cards for verification but it has two major problems of
forgotten passwords and stolen ID cards. Biometrics provided
solution to these problems. Among the all biometrics, iris
recognition has achieved highest recognition accuracy. An iris
is a colored area between dark pupil and bright sclera. Iris has
unique characteristics like stability of iris patterns throughout
life time, not surgically modifiable. Its probability of
uniqueness among all humans has made it a reliable and
efficient human recognition technique. It can be used in many
applications like controlled access, airports, ATM, etc. Many
researchers developed iris recognition systems that are
different to each other with respect to feature extraction.
Iris structure has complex and plentiful textures which
can be extracted as features for iris coding. We present a
new representation of iris coding by using 2D wavelet.
The proposed scheme of feature extraction is to
use the multi-level coefficients of decomposition parts of
image via wavelet. A feature vector consists of 5-level
decomposition coefficients along vertical and horizontal
direction. From these coefficients a compact binary code
is generated.
Index Terms: Matlab, source, code, iris, recognition, identification, wavelet, wavelets, decomposition.
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Figure 1. Multilevel wavelet decomposition. |
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A simple and effective source code for Iris Identification Using 2D Wavelet. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox and Matlab Wavelet Toolbox are required. |
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Release |
Date |
Major features |
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1.0 |
2008.11.08 |
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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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Iris Identification Using 2D Wavelet - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 100 EUROS (less
than 140 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 Iris Identification Using 2D Wavelet. 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 R2006a. Matlab Image Processing Toolbox and Matlab Wavelet 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.
