03647nam 2200637Ia 450 991070994030332120180711120938.0GOVPUB-C13-367ee6d5c84e406b4b32ec916edf1a81(CKB)5470000002474865(OCoLC)475568095(OCoLC)995470000002474865(EXLCZ)99547000000247486520091208d2009 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierHypothesis test of fingerprint-image matching algorithms in operational ROC analysis /Jin Chu Wu, Alvin F. Martin, Raghu N. KackerGaithersburg, MD :U.S. Dept. of Commerce, National Institute of Standards and Technology,[2009].1 online resource (ii, 23 pages) illustrationsNISTIR ;7586"June 2009."Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes.Title from page [1], viewed December 8, 2009.Includes bibliographical references (pages 22-23).To evaluate the performance of fingerprint-image matching algorithms on large datasets, a receiver operating characteristic (ROC) curve is applied. From the operational perspective, the true accept rate (TAR) of the genuine scores at a specified false accept rate (FAR) of the impostor scores is usually employed. And the equal error rate (EER) can also be used. The accuracies of the measurement TAR and EER in terms of standard errors and 95 % confidence intervals can be computed using the nonparametric two-sample bootstrap based on our studies of bootstrap variability on large fingerprint datasets. In this article, the hypothesis testing is performed to determine whether the difference between the performance of one algorithm and a hypothesized value, or the difference between the performances of two algorithms where the correlation is taken into account is statistically significant. In the case that the alternative hypothesis is accepted, the sign of the difference is employed to determine which is better than the other. Examples are provided.Hypothesis test of fingerprint-image matching algorithms in operational Receiver Operating Characteristic analysisBiometric identificationFingerprintsData processingImage processingDigital techniquesBiometric identificationfastFingerprintsData processingfastImage processingDigital techniquesfastBiometric identification.FingerprintsData processing.Image processingDigital techniques.Biometric identification.FingerprintsData processing.Image processingDigital techniques.Wu Jin Chu1391473Kacker Raghu1388742Martin Alvin F1394685Information Technology Laboratory (National Institute of Standards and Technology).Information Access Division.Information Technology Laboratory (National Institute of Standards and Technology).Mathematical and Computational Sciences Division.NBSNBSNBSOCLCQOCLCFOCLCOOCLCQBOOK9910709940303321Hypothesis test of fingerprint-image matching algorithms in operational ROC analysis3459961UNINA