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Summary: Towards a Measure of Biometric Feature
Information
Andy Adler1
,
Richard Youmaran2
, Sergey Loyka2
1
Carleton University, Ottawa, Ontario,K1S 5B6, Canada
2
University of Ottawa, Ontario, Canada
Tel: (613)520 - 2600 ext. 8785
Fax: (613)520 - 5727
adler@sce.carleton.ca
{youmaran,loyka}@site.uottawa.ca
Abstract
This paper develops an approach to measure the information content of a biometric feature repre-
sentation. We define biometric information as the decrease in uncertainty about the identity of a person
due to a set of biometric measurements. We then show that the biometric feature 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 system is the mean D(p q)
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