Modelling FRR of Biometric Verification Systems using the Template Co-update Algorithm

DIDACI, LUCA;MARCIALIS, GIAN LUCA;ROLI, FABIO

2009-01-01

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Abstract

The decrease of representativeness of available templates during time is due to the large intra-class variations characterizing biometrics (e.g. faces). This requires the design of algorithms able to make biometric verification systems adaptive to such variations. Among others, the template co-update algorithm, which uses the mutual help of two complementary biometric matchers, has shown promising experimental results. The present paper is aimed to describe a theoretical model able to explain the co-update behaviour. In particular, the focus is on the relationships between error rate and gallery size increase. Preliminary experimental results are shown to validate the proposed model.