Feature Based Isolated Marathi Handwritten Numeral Recognition - Couverture souple

Patil, Vinod; Patil, Manisha; Badgujar, Ravindra

 
9783659889707: Feature Based Isolated Marathi Handwritten Numeral Recognition
Couverture souple
ISBN 10 : 3659889709 ISBN 13 : 9783659889707
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Handwritten recognition is not a new technology, but it has not gained public attention until recently. It has been observed thatall sorts of structural, topological and statistical information about the characters does not lend a helping hand in the recognition process due to different writing styles and moods of persons at the time of writing. For more than 30 years, researchers have been working on handwritten recognition. Over the few past years, the numbers of companies involved in research on handwritten recognition are increasing continually. The ultimate goal of designing a handwritten recognition system with an accuracy rate of 100% is quit illusionary, because even human beings are not able to recognize every handwritten character without any confusion. It can be seen that most of the people cannot even read their own notes.The objective of this book is to study existing feature extraction methods viz. Fourier descriptors and ring features and their capability to recognize handwritten isolated numerals with the minimum distance classifier . The 500 handwritten numerals are from zero to nine and in Marathi script and they are collected from 50 multiple writers.

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

Présentation de l'éditeur

Handwritten recognition is not a new technology, but it has not gained public attention until recently. It has been observed thatall sorts of structural, topological and statistical information about the characters does not lend a helping hand in the recognition process due to different writing styles and moods of persons at the time of writing. For more than 30 years, researchers have been working on handwritten recognition. Over the few past years, the numbers of companies involved in research on handwritten recognition are increasing continually. The ultimate goal of designing a handwritten recognition system with an accuracy rate of 100% is quit illusionary, because even human beings are not able to recognize every handwritten character without any confusion. It can be seen that most of the people cannot even read their own notes.The objective of this book is to study existing feature extraction methods viz. Fourier descriptors and ring features and their capability to recognize handwritten isolated numerals with the minimum distance classifier . The 500 handwritten numerals are from zero to nine and in Marathi script and they are collected from 50 multiple writers.

Biographie de l'auteur

Mr. V. R. Patil and Mr. R. D. Badgujar are Working as Asst. Prof. in E&TC Dept of RCPIT shirpur. They have more than 11 years teaching experience. Ms. M. S. Patil Working as Asst. Prof. in Comp Dept of SSVPS Dhule. She has more than 10 years teaching experience.

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
2016
Langue
anglais
ISBN 10 
3659889709
ISBN 13 
9783659889707
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne