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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.

 

 

 

 

 

Figure 1. Palm vein biometric technology



A simple and effective source code for Palm Vein Recognition System.



Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.

Release
Date
Major features
1.0

2014.02.08



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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).

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:
Name :
Luigi Rosa
Address :
Via Pozzo Strada 5 10139 Torino Italy
Bank name:
Poste Italiane
Bank address:
Viale Europa 190 00144 Roma Italy
IBAN (International Bank Account Number) :
IT-50-V-07601-03600-000058177916
BIC (Bank Identifier Code) :
BPPIITRRXXX

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.

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