Pseudo-Signatures as a Biometric
Jin Chen, Daniel Lopresti, Lucas Ballard, Fabian Monrose · 2008
Recent work has shown that biometric key generation using handwriting as input is susceptible to attacks based on generative models and population statistics. In this paper, we examine a new scheme we have proposed that attempts to address this issue. Pseudo-signatures are intended to be easy for users to create and reproduce while being more resilient to forgery attempts. We consider some basic quality and performance measures to try to determine whether a user's pseudo-signatures are sufficiently idiosyncratic. Our preliminary results indicate the approach shows promise and is deserving of further study.