Articles liés à Handwritten Marathi Character Recognition using Neural...

Handwritten Marathi Character Recognition using Neural Networks: Single-stage, Multistage and Hybrid Classification techniques - Couverture souple

Shelke, Sushama; Apte, Shaila

 
9783838372815: Handwritten Marathi Character Recognition using Neural Networks: Single-stage, Multistage and Hybrid Classification techniques
Couverture souple
ISBN 10 : 3838372816 ISBN 13 : 9783838372815
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

This book presents a comprehensive research on handwritten Marathi character recognition using Neural networks. It includes extensive study on how to use Neural networks efficiently and achieve high recognition results. Various issues related to Neural networks like selection of the architecture, learning algorithm, number of features, number of hidden neurons etc. are discussed in detail. It includes investigations in pre-processing and features extraction techniques. It explores the combination of Neural networks with other classifiers in various ways to handle a large amount of training data successfully. It presents various classifier combinations, both in horizontal and vertical manner that increases the recognition rate without much computational complexities. This book serves an excellent baseline for those interested in carrying out research in handwritten character recognition. The algorithms discussed here can be applied to recognize characters in other scripts with respective database and structural classification parameters. The structural classification, compound character recognition and similar character recognition are the major contributions of this research.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book presents a comprehensive research on handwritten Marathi character recognition using Neural networks. It includes extensive study on how to use Neural networks efficiently and achieve high recognition results. Various issues related to Neural networks like selection of the architecture, learning algorithm, number of features, number of hidden neurons etc. are discussed in detail. It includes investigations in pre-processing and features extraction techniques. It explores the combination of Neural networks with other classifiers in various ways to handle a large amount of training data successfully. It presents various classifier combinations, both in horizontal and vertical manner that increases the recognition rate without much computational complexities. This book serves an excellent baseline for those interested in carrying out research in handwritten character recognition. The algorithms discussed here can be applied to recognize characters in other scripts with respective database and structural classification parameters. The structural classification, compound character recognition and similar character recognition are the major contributions of this research.

Biographie de l'auteur

Sushama Shelke received her BE and ME degrees from Walchand College of Engineering,India in 1999 and 2001 respectively. Currently she has submitted her PhD in the Electronics Department, Walchand College of Engineering under Shivaji University. Presently she is working as an Associate Professor in the Department of E & TC, PICT, Pune.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3838372816
ISBN 13 
9783838372815
Reliure
Broché
Nombre de pages
188
Coordonnées du fabricant
non disponible
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