Biometric Permanence: Definition and Robust Calculation
John Harvey, John Campbell, Stephen J. Elliott, Michael Brockly, Andy Adler · 2017 Annual IEEE International Systems Conference (SysCon) · 2017
In this paper, we develop a novel metric, which we call biometric permanence, to characterize the stability of biometric features. First, we define permanence in terms of the change in false non-match ratio (FNMR) over a repeated sequence of enrolment and verification events for a given population. We consider how such a measure may be experimentally determined. Since changes in FNMR, for most biometric modalities, are small, any variability in the biometric capture over time will camouflage the changes of interest. To address this issue, a robust methodology is proposed which can isolate the visit-to-visit variability, and substantially improve the estimation. We develop a model for the visit biases, and provide extensive simulation results supporting the efficacy of the improved method.