Online Signature Verification: A Review

Abstract

From the last few decades, online signature verification (OSV) has become a hot research topic and have been employed in many application areas such as banking, law enforcement, industry, and security control etc. The growing security needs of today’s society exert a pull on researchers to work in this area. A number of techniques along with their variations have been proposed in the realization of a fool proof & reliable signature verification system. Dynamic Time Warping (DTW), Hidden Markov Model (HMM), Support Vector Machine (SVM) and Neural Networks (NN) are the most promising approaches amongst the others. In this paper, we have presented a review of research carried out in recent past in the field of online signature verification and made a qualitative analysis of these state-of-the-art approaches.