Issue No. 04 - April (2007 vol. 29)
Patrick Grother , IEEE
Elham Tabassi , IEEE
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.
Biometrics, quality measurement, authentication, evaluation, performance measures.
P. Grother and E. Tabassi, "Performance of Biometric Quality Measures," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 29, no. , pp. 531-543, 2007.