Statistical inference for template aging

Michael E. Schuckers

doi:10.1117/12.666417

17 April 2006 Statistical inference for template aging

Michael E. Schuckers

Proceedings Volume 6202, Biometric Technology for Human Identification III; 62020M (2006) https://doi.org/10.1117/12.666417
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

A change in classification error rates for a biometric device is often referred to as template aging. Here we offer two methods for determining whether the effect of time is statistically significant. The first of these is the use of a generalized linear model to determine if these error rates change linearly over time. This approach generalizes previous work assessing the impact of covariates using generalized linear models. The second approach uses of likelihood ratio tests methodology. The focus here is on statistical methods for estimation not the underlying cause of the change in error rates over time. These methodologies are applied to data from the National Institutes of Standards and Technology Biometric Score Set Release 1. The results of these applications are discussed.

Citation Download Citation

Michael E. Schuckers "Statistical inference for template aging", Proc. SPIE 6202, Biometric Technology for Human Identification III, 62020M (17 April 2006); https://doi.org/10.1117/12.666417

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