.: Click here to download :.
Palm vein authentication has high level of accuracy because
it is located inside the body and does not change over the life
and cannot be stolen. Palm vein technology works by identifying the vein patterns
in an individual's palm. When a user's hand is held over a
scanner, a near-infrared light maps the location of the veins.
The red blood cells present in the veins absorb the rays and
show up on the map as black lines, whereas the remaining
hand structure shows up as white. This vein pattern is then
verified against a preregistered pattern to authenticate the
individual. As veins are internal in the body and have a
wealth of differentiating features, attempts to forge an
identity are extremely difficult, thereby enabling a high level
of security.
We have developed a fast and optimized algorithm for palm vein recognition based on Local Binary Pattern.
Code has been tested on CASIA Multi-Spectral Palmprint Image Database.
This dataset contains 7200 palm images captured from 100 different
people using a self-designed multiple spectral imaging device.
Index Terms: Matlab, source, code, palm, vein, recognition, vascular, pattern.
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Figure 1. Palm vein biometric technology |
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A simple and effective source code for Palm Vein Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2014.02.08 |
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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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Palm Vein Recognition System - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 150 EUROS (less
than 210 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 Palm Vein 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 Image 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.
