.: Click here to download :.
In the field of biometrics, palmprint is a novel but promising technology.
Limited work has been reported on palmprint identification
and verification, despite the importance of palmprint
features. There are many unique features in a palmprint image
that can be used for personal identification. Principal lines,
wrinkles, ridges, minutiae points, singular points, and texture are regarded as
useful features for palmprint representation.
The system functions by projecting palmprint images onto a feature space
that spans the significant variations among known images. The
significant features are known as "eigenpalms" because they are the
eigenvectors (principal components) of the set of palmprints.
The images included are taken from CASIA Palmprint Database, available at
http://www.cbsr.ia.ac.cn/english/Palmprint%20Databases.asp.
CASIA Palmprint Database contains
5239 palmprint images captured from 301 different people. All palmprint
images are 8 bit gray-level JPEG files.
We have developed a simple, fast and accurate scheme for automatic palmprint segmentation.
Our approach can detect the region of interest in palmprint image where most of useful
information is located. A robust image coordinate system is defined to facilitate
image alignment for feature extraction.
Index Terms: Matlab, source, code, online palmprint identification, texture analysis,
low-resolution image, palmprint recognition.
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Figure 1. Palmprint image |
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A simple and effective source code for Palmprint Recognition. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox and Matlab Mapping Toolbox are required. |
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Release |
Date |
Major features |
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1.0 |
2007.07.16 |
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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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Palmprint Recognition System - Release 1.0 - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 28 EUROS (less
than 40 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 Palmprint 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 14 SP1. Matlab Image Processing Toolbox and Matlab Mapping 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.
