University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Estimating the confidence interval of expected performance curve in biometric authentication using joint bootstrap

Poh, N and Bengio, S (2007) Estimating the confidence interval of expected performance curve in biometric authentication using joint bootstrap 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol II, Pts 1-3. pp. 137-140.

Full text not available from this repository.

Abstract

Evaluating biometric authentication performance is a complex task because the performance depends on the user set size, composition and the choice of samples. We propose to reduce the performance dependency of these three factors by deriving appropriate confidence intervals. In this study, we focus on deriving a confidence region based on the recently proposed Expected Performance Curve (EPC). An EPC is different from the conventional DET or ROC curve because an EPC assumes that the test class-conditional (client and impostor) score distributions are unknown and this includes the choice of the decision threshold for various operating points. Instead, an EPC selects thresholds based on the training set and applies them on the test set. The proposed technique is useful, for example, to quote realistic upper and lower bounds of the decision cost function used in the NIST annual speaker evaluation. Our findings, based on the 24 systems submitted to the NIST2005 evaluation, show that the confidence region obtained from our proposed algorithm can correctly predict the performance of an unseen database with two times more users with an average coverage of 95% (over all the 24 systems). A coverage is the proportion of the unseen EPC covered by the derived confidence interval.

Item Type: Article
Authors :
NameEmailORCID
Poh, Nn.poh@surrey.ac.ukUNSPECIFIED
Bengio, SUNSPECIFIEDUNSPECIFIED
Date : 2007
Uncontrolled Keywords : biometric authentication, pattern recognition, classification
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 11:24
Last Modified : 17 May 2017 14:56
URI: http://epubs.surrey.ac.uk/id/eprint/831224

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800