A comparison of statistical methods for evaluating matching performance of a biometric identification device: a preliminary report

Michael E. Schuckers; Anne Hawley; Katie Livingstone; Nona Mramba

doi:10.1117/12.541899

25 August 2004 A comparison of statistical methods for evaluating matching performance of a biometric identification device: a preliminary report

Michael E. Schuckers, Anne Hawley, Katie Livingstone, Nona Mramba

Author Affiliations +

Proceedings Volume 5404, Biometric Technology for Human Identification; (2004) https://doi.org/10.1117/12.541899
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

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Michael E. Schuckers, Anne Hawley, Katie Livingstone, and Nona Mramba "A comparison of statistical methods for evaluating matching performance of a biometric identification device: a preliminary report", Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); https://doi.org/10.1117/12.541899

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