.: Click here to download :.
We have developed a neural network based approach for automated fingerprint recognition. Fingerprint image is classified
via a multilayer perceptron (MLP) classifier with one hidden layer. The backpropagation learning technique is used for its training.
Selected features are represented in a special way such that they are simultaneously invariant under shift, rotation and scaling. Simulation
results are obtained with good detection ratio and low failure rate. The proposed method is found to be reliable for a system with a small set
of fingerprint data.
Index Terms: Matlab, source, code, fingerprint, recognition, neural, network, ANN, networks.
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Figure 1. Fingerprint image |
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A simple and effective source code for Neural Network Fingerprint Recognition. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox and Matlab Neural Network Toolbox are required. |
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Release |
Date |
Major features |
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1.0 |
2012.04.15 |
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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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Neural Network Fingerprint Recognition - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 170 EUROS (less
than 238 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 Neural Network Fingerprint Recognition. 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 and Matlab Neural Network 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.
