Online Signature Recognition Using Software as a Service (SaaS) Model on Public Cloud

The signature recognition systems are widely used and measure of security and authenticity in terms of commercial as well as official transactions. The exciting 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. The standalone application are not scalable. With the increasing number users the biometric implementation has to be scalable and capable of handling large datasets for a large population. In this paper, 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.