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Online Signature Recognition using Software as a Service Architecture - Couverture souple

D'silva, Godson; Bharadi, Vinayak

 
9783659977169: Online Signature Recognition using Software as a Service Architecture
Couverture souple
ISBN 10 : 3659977160 ISBN 13 : 9783659977169
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

The signature recognition systems are widely used measures of security and authenticity in terms of commercial as well as official transactions. The existing signature recognition systems need a high configuration machine to perform multiple operations of feature vector extraction, enrollment and verification. These implementations are generally standalone and implemented on a single server based architecture, in this case even a single point of failure may occur. Moreover standalone application are not scalable. With the increasing number of users the biometric implementation has to be scalable and capable of handling large datasets for a large population. In this book, a highly scalable, pluggable and faster cloud based online signature recognition system is proposed, which is capable of operating on enormous amounts of data, which in turn, induces the need for sufficient storage capacity and significant processing power. To add more accuracy and consistency in the verification process of the online signature recognition system, a classifier is also designed and elaborated in this book.

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

Présentation de l'éditeur

The signature recognition systems are widely used measures of security and authenticity in terms of commercial as well as official transactions. The existing signature recognition systems need a high configuration machine to perform multiple operations of feature vector extraction, enrollment and verification. These implementations are generally standalone and implemented on a single server based architecture, in this case even a single point of failure may occur. Moreover standalone application are not scalable. With the increasing number of users the biometric implementation has to be scalable and capable of handling large datasets for a large population. In this book, a highly scalable, pluggable and faster cloud based online signature recognition system is proposed, which is capable of operating on enormous amounts of data, which in turn, induces the need for sufficient storage capacity and significant processing power. To add more accuracy and consistency in the verification process of the online signature recognition system, a classifier is also designed and elaborated in this book.

Biographie de l'auteur

Mr.Godson Michael D'silva has completed his M.E. in Information Technology in 2015 from Mumbai University. He is OCJP and CEH certified. He has published 4 IEEE conference papers and was honored with “Best Paper Award” in IEEE Conference. He was a part of the team that received “Microsoft Azure Educator Grant”.

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 
3659977160
ISBN 13 
9783659977169
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
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