Effects of user correlation on sample size requirements

Sarat C. Dass; Anil K. Jain

doi:10.1117/12.603441

28 March 2005 Effects of user correlation on sample size requirements

Sarat C. Dass, Anil K. Jain

Proceedings Volume 5779, Biometric Technology for Human Identification II; (2005) https://doi.org/10.1117/12.603441
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Sarat C. Dass and Anil K. Jain "Effects of user correlation on sample size requirements", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.603441

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available