Handwritten Character Recognition Using Artificial Neural Network

Dutt Sunderiyal, Vinita; Kumar Singh Yadav, Ajit

ISBN 10: 3659364037 / ISBN 13: 9783659364037

Edité par VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013

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Print on Demand pp. 140 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

N° de réf. du vendeur 131782660

Détails bibliographiques

• Titre: Handwritten Character Recognition Using Artificial Neural Network
• Éditeur: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 3659364037
• ISBN à 13 chiffres: 9783659364037
• Reliure: Couverture souple
• État de l'article: New

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Synopsis

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.