An effective and efficient handwritten signature verification scheme

In this paper ive present a methodology for an Efficient Signature Verification scheme using the Hidden Markov Model (HMM) for verification. The method is memory and computation time efficient. One of the primary, goals in the development of this system is to facilitate real-time operation. We usc the Baum-Welch Algorithim for training the HMM and the Viterbi Algorithm for the testing of our Proposed system. It may be noted that the technique of HMMs have hitherto been applied for speech modelling and only recently has its application to the field of Signature Verification been considered. Our proposed system has an overall accuracy of 11.64% FAR and 0.64% FRR.