Handwritten Character Recognition Using Artificial Neural Network: System for handwritten character recognition, bring out accurate results even for noisy image

 
9783659364037: Handwritten Character Recognition Using Artificial Neural Network: System for handwritten character recognition, bring out accurate results even for noisy image
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A Neural network is a machine that is designed to model the way in which the brain performs a particular task or function of interest: The network is usually implemented by using electronic components or is simulated in software on a digital computer. “ A neural network is a massively parallel distributed processor made up of simple processing units which has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects: 1)Knowledge is required by the network from its environment through a learning process. 2)Inter neuron connection strengths, known as synaptic weights, are used to store the acquired knowledge”. In this book, we proposed a system capable of recognizing handwritten characters or symbols, Our aim is to build a system for handwritten character recognition. The system should be such that it should be able to handle transformation of scaling, translation or a combination of both. The objective is to bring out accurate results even for images with noise in them.

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About the Author:

Vinita Dutt Sunderiyal M-TECH COMPUTER SCIENCE ; Studied M-TECH COMPUTER SCIENCE IET Ajmer,Asst.Professor at Raj Kumar Goel Engineering College Ghaziabad UP INDIA.

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Dutt Sunderiyal, Vinita
Published by LAP Lambert Academic Publishing (2013)
ISBN 10: 3659364037 ISBN 13: 9783659364037
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