Personal Iris Recognition Using Neural Network

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.
File Size60.75 kB
Operating System Windows Server 2008 Windows Me Windows XP Windows Windows Vista Windows 98 Windows 3.x Windows 2000 Windows NT Windows 2003 Windows 95
System RequirementsMatlab 7.0


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