Beschreibung
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.
Autorenporträt
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".
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
