Selecting reference signatures for on-line signature verification

Abstract

Personal stability in signing in one of the key factors for high-accuracy signature verification. In this paper the local stability of a dynamic signature is measured. The acccuracy of an on-line signature verification system is improved by selecting, among a set of specimens available, the subset of reference signatures which is near-optimal for different signature representation domains in terms of impostor-acceptance error rate.