Various Training Algorithms Used for Signature Verification Using Neural Network
Abstract
As a brain processes information, an artificial neural network (ANN) is an information processing paradigm that is inspired by the way biological nervous system works. The novel structure of information processing system is the key element of this paradigm. Through a learning process it can process specific application such as pattern recognition or data classification since it is composed of a large number of highly interconnected processing element (neurons) working in unison. By adjusting the synaptic connection that exist between the neurons, a biological systems learns. AN works in similar way. In this paper we discuss about the various training algorithm that are used for signature verification by using neural network.
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