Matlab is a registered trademark of The Mathworks, Inc.

 Advanced Source Code . Com

Source code for fingerprint recognition, face recognition and much more

Software Info    About us     
Go To Matlab Official Website

.: Click here to download :.

Having an easier life by the help of developing technologies forces people is more complicated technological structure. In today’s world, security is more important than ever. Dazziling developments in technology arouse interest of scientists about human and human behaviors and at the same time, give an opportunity to people to apply their thoughts. Today, for security needs, detailed researches are organized to set up the most reliable system. Iris Recognition Security System is one of the most reliable leading technologies that most people are related. Iris recognition technology combines computer vision, pattern recognition, statistical inference, and optics. Its purpose is real-time, high confidence recognition of a person's identity by mathematical analysis of the random patterns that are visible within the iris of an eye from some distance. Because the iris is a protected internal organ whose random texture is stable throughout life, it can serve as a kind of living passport or a living password that one need not remember but can always present. Because the randomness of iris patterns has very high dimensionality, recognition decisions are made with confidence levels high enough to support rapid and reliable exhaustive searches through national-sized databases.

Artificial Neural Networks (ANNs) are programs designed to simulate the way a simple biological nervous system is believed to operate. They are based on simulated nerve cells or neurons, which are joined together in a variety of ways to form networks. These networks have the capacity to learn, memorize and create relationships amongst data. ANN is an information-processing paradigm, implemented in hardware or software that is modeled after the biological processes of the brain. An ANN is made up of a collection of highly interconnected nodes, called neurons or processing elements. A node receives weighted inputs from other nodes, sums these inputs, and propagates this sum through a function to other nodes. This process is analogous to the actions of a biological neuron. An ANN learns by example. In a biological brain, learning is accomplished as the strengths of the connections between nodes are adjusted. This is true for ANN’s also, as these strengths are captured by the weights between the nodes. ANN’s most important advantage is that they can be used to solve problems of considerable complexity; problems that do not have an algorithmic solution or for which such a solution is too complex to be found. Because of their abstraction from the brain, ANNs are good at solving problems that humans are good at solving but which computers are not. Pattern recognition and classification are examples of problems that are well suited for ANN application.

Index Terms: Matlab, source, code, iris, recognition, segmentation, detection, verification, matching, ann, nn, neural, network, networks.






Figure 1. Neural network example

A simple and effective source code for Personal Iris Recognition Using Neural Network.

Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox, Matlab Neural Network Toolbox and Matlab Signal Processing Toolbox are required.

Major features


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.

Personal Iris Recognition Using Neural Network - Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 250 EUROS (less than 350 U.S. Dollars).

Once you have done this, please email us
As soon as possible (in a few days) you will receive our new release of Personal Iris Recognition Using Neural Network.

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) :
BIC (Bank Identifier Code) :

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, Matlab Neural Network Toolbox and Matlab Signal Processing 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.

New - Python Face Recognition
 Biometric Authentication with Python We have developed a fast and reliable Python code for face recognition based on Principal Component Analysis (PCA). Proposed algorithm results computationally inexpensive and it can run also in a low-cost pc such as Raspberry PI.
New - Raspberry PI Remote Desktop
 Raspberry PI Remote Desktop A complete and detailed PDF tutorial to learn how to connect to and from a Raspberry PI using Remote Desktop.
New - Speaker Verification System
 Text-Independent Speaker Authentication There are two major applications of speaker recognition technologies and methodologies. If the speaker claims to be of a certain identity and the voice is used to verify this claim, this is called verification or authentication.
New - Java Face Recognition
 Java-based Biometric Authentication System Face recognition is essential in many applications, including mugshot matching, surveillance, access control and personal identification, and forensic and law enforcement applications.
New - White Papers
 High Capacity Wavelet Watermarking Using CDMA Multilevel Codes This paper proposes a technique based on CDMA and multilevel coding in order to achieve a high capacity watermarking scheme. The bits of watermark are grouped together and for each sequence a different modulation coefficient is used.
New - WebCam Face Identification
 Face Recognition Based on Fractional Gaussian Derivatives Local photometric descriptors computed for interest regions have proven to be very successful in applications such as wide baseline matching, object recognition, texture recognition, image retrieval, robot localization, video data mining, building panoramas, and recognition of object categories.
New - Speaker Recognition System
 Source code for speaker recognition
Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves.
New - Speech Recognition System
 Source code for isolated words recognition
Speech recognition technology is used more and more for telephone applications like travel booking and information, financial account information, customer service call routing, and directory assistance. Using constrained grammar recognition, such applications can achieve remarkably high accuracy.

The MathWorks, Inc. Google NeuralNetworks.It Octave Scilab The R Project for Statistical Computing Python Other available resources English Dictionary Download .Com
Software Info    About us