.: Click here to download :.
Hand geometry recognition technology is in broad use for access
control as well as time and attendance applications. An individual
places their hand on a reader, and their identity is verified based
upon the location of a number of key points on their hand.
Traditional hand geometry system always uses pegs to fix
the placement of the hand. Two main weaknesses
of using pegs are that pegs will definitely deform the shape
of the hand silhouette and users might place their hands incorrectly.
We have developed a fast and optimized algorithm for hand geometry
recognition based on Neural Networks. Proposed approach does not
require any particular hardware since extracted features are computed
without assuming any fixed hand positioning and also a low-cost webcam
can be used for image acquisition.
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, hand, geometry, recognition, neural, networks.
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Figure 1. Hand geometry |
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A simple and effective source code for Hand Geometry 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 |
2014.02.02 |
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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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Hand Geometry Recognition System - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 30 EUROS (less
than 42 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 Hand Geometry 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.
