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Proceedings Paper

A comparison of statistical methods for evaluating matching performance of a biometric identification device: a preliminary report
Author(s): Michael E. Schuckers; Anne Hawley; Katie Livingstone; Nona Mramba
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Paper Abstract

Confidence intervals are an important way to assess and estimate a parameter. In the case of biometric identification devices, several approaches to confidence intervals for an error rate have been proposed. Here we evaluate six of these methods. To complete this evaluation, we simulate data from a wide variety of parameter values. This data are simulated via a correlated binary distribution. We then determine how well these methods do at what they say they do: capturing the parameter inside the confidence interval. In addition, the average widths of the various confidence intervals are recorded for each set of parameters. The complete results of this simulation are presented graphically for easy comparison. We conclude by making a recommendation regarding which method performs best.

Paper Details

Date Published: 25 August 2004
PDF: 12 pages
Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.541899
Show Author Affiliations
Michael E. Schuckers, St. Lawrence Univ. (United States)
West Virginia Univ. (United States)
Anne Hawley, North Carolina State Univ. (United States)
Katie Livingstone, St. Lawrence Univ. (United States)
Nona Mramba, St. Lawrence Univ. (United States)

Published in SPIE Proceedings Vol. 5404:
Biometric Technology for Human Identification
Anil K. Jain; Nalini K. Ratha, Editor(s)

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