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Proceedings Paper

Effects of user correlation on sample size requirements
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Paper Abstract

Very little work has been done in determining the number of users needed to establish confidence intervals for an error rate of a biometric authentication system. The independence assumption between multiple acquisitions of an individual is too restrictive and is generally not valid. We relax this assumption and present a semi-parametric approach for estimating the within-user correlation using multivariate Gaussian copula models. We describe how to obtain confidence bands for the ROC and present the minimum requirements on the number of users needed to achieve a desired width for the ROC confidence band. Rules of thumb such as the Rule of 3 and the Rule of 30 grossly underestimate the number of users required. The underestimation becomes more severe when the correlation between any two acquisitions increases.

Paper Details

Date Published: 28 March 2005
PDF: 6 pages
Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); doi: 10.1117/12.603441
Show Author Affiliations
Sarat C. Dass, Michigan State Univ. (United States)
Anil K. Jain, Michigan State Univ. (United States)


Published in SPIE Proceedings Vol. 5779:
Biometric Technology for Human Identification II
Anil K. Jain; Nalini K. Ratha, Editor(s)

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