Performance of Biometric Quality Measures
Grother, P.
Tabassi, E.
Image Group, Nat. Inst. of Stand. & Technol., Gaithersburg, MD;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: April 2007
Volume: 29,
Issue: 4
On page(s): 531-543
ISSN: 0162-8828
INSPEC Accession Number: 9370977
Digital Object Identifier: 10.1109/TPAMI.2007.1019
Current Version Published: 2007-02-20
Abstract
We document methods for the quantitative evaluation of systems that produce a scalar summary of a biometric sample's quality. We are motivated by a need to test claims that quality measures are predictive of matching performance. We regard a quality measurement algorithm as a black box that converts an input sample to an output scalar. We evaluate it by quantifying the association between those values and observed matching results. We advance detection error trade-off and error versus reject characteristics as metrics for the comparative evaluation of sample quality measurement algorithms. We proceed this with a definition of sample quality, a description of the operational use of quality measures. We emphasize the performance goal by including a procedure for annotating the samples of a reference corpus with quality values derived from empirical recognition scores
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