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Summary: MEASURING BIOMETRIC SAMPLE QUALITY IN TERMS OF BIOMETRIC INFORMATION
Richard Youmaran and Andy Adler
University of Ottawa,
School of Information Technology and Engineering,
Ontario, Canada
ABSTRACT
This paper develops a new approach to understand and mea-
sure variations in biometric sample quality. We begin with
the intuition that degradations to a biometric sample will re-
duce the amount of identi able information available. In or-
der to measure the amount of identi able information, we
de ne biometric information as the decrease in uncertainty
about the identity of a person due to a set of biometric mea-
surements. We then show that the biometric information for
a person may be calculated by the relative entropy D(p q)
between the population feature distribution q and the person's
feature distribution p. The biometric information for a sys-
tem is the mean D(p q) for all persons in the population. In
order to practically measure D(p q) with limited data sam-
ples, we introduce an algorithm which regularizes a Gaussian
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