An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons.
This project deals with developing an artificial neuron and creating a neural network using Microsoft Visual C#, make it learn using some algorithm to identify face patterns. A retinally connected neural network examines small windows of an image, and decides whether each window contains a face. This is basically a windows application which once learnt detects faces on supplied pictures.
Face detection USING NNNEW -
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