Synonyms
Crew designs; Sample size; Target population
Definition
The testing and evaluation of biometrics is a complex task. The difficulties in such an endeavor include the selection of the number and type of individuals that will participate in this process of testing. Determining the amount of data to be collected is another important factor in this process. Choosing an appropriate set of individuals from which to collect biometrics data is another important aspect of testing a biometrics system.
Introduction
The assessment of a biometric system’s matching performance is an important part of evaluating such a system. A biometric implementation is an ongoing process and as such will be treated as a process in the sense of Hahn and Meeker [1]. Thus, any inference regarding that process will be analytic in nature rather than enumerative as delineated by Deming [2]: An enumerative study has for its aim an estimate of the number of units of a frame that belong to a specified class. An...
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
G.J. Hahn, W.Q. Meeker, Statistical Intervals: A Guide for Practioners (Wiley, New York, 1991)
W.E. Deming, On probability as a basis for action. Am. Stat. 29(4), 146–152 (1975)
J.L. Wayman, Confidence interval and test size estimation for biometric data, in National Biometrics Test Center, Collected Works 1997–2000, 2000, pp. 89–99. http://www.engr.sjsu.edu/biometrics/nbtccw.pdf
J.L. Wayman, Confidence interval and test size estimation for biometric data, in Proceedings of IEEE AutoID’99, New Jersey, 1999, pp. 177–184
T. Mansfield, J.L. Wayman, Best practices in testing and reporting performance of biometric devices on the web at http://www.cesg.gov.uk/site/ast/biometrics/media/BestPractice.pdf (2002)
T.A. Louis, Confidence intervals for a binomial parameter after observing no successes. Am. Stat. 35(3), 154 (1981)
B.D. Jovanovic, P.S. Levy, A look at the rule of three. Am. Stat. 51(2), 137–139 (1997)
G.R. Doddington, M.A. Przybocki, A.F. Martin, D.A. Reynolds, The NIST speaker recognition evaluation: overview methodology, systems, results, perspective. Speech Commun. 31(2-3), 225–254 (2000)
M.E. Schuckers, E. Sheldon, H. Hartson, When enough is enough: early stopping of biometrics error rate testing, in Proceedings of the IEEE Workshop on Automatic Identification Advanced Technologies (AutoID), Alghero, 2007
M.E. Schuckers, Estimation and sample size calculations for correlated binary error rates of biometric identification rates, in Proceedings of the American Statistical Association: Biometrics Section [CD-ROM], Alexandria (American Statistical Association, 2003)
J.L. Fleiss, B. Levin, M.C. Paik, Statistical Methods for Rates and Proportions (Wiley, New York, 2003)
R.J. Serfling, Contributions to central limit theory for dependent variables. Ann. Math. Stat. 39(4), 1158–1175 (1968)
S.L. Lohr, Sampling: Design and Analysis (Duxbury, Pacific Grove, 1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this entry
Cite this entry
Schuckers, M.E. (2015). Test Sample and Size. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_113
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7488-4_113
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7487-7
Online ISBN: 978-1-4899-7488-4
eBook Packages: Computer ScienceReference Module Computer Science and Engineering