Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Operational Measures and Accuracies of ROC Curve on Large Fingerprint Data Sets



Jin Chu Wu


At any point on a receiver operating characteristic (ROC) curve in combination with two distributions of genuine scores and impostor scores, there are three related variables: the true accept rate (TAR) of the genuine scores, the false accept rate (FAR) of the impostor scores, and the threshold. Any one of these three variables determines the other two variables. The measures and accuracies of TAR and threshold while FAR is specified and the measures and accuracies of TAR and FAR once threshold is fixed are all investigated. In addition, the measures and accuracies of the equal error rate (EER) and the corresponding threshold are also explored. From the operational perspective, these exhaust all possible scenarios. The nonparametric two-sample bootstrap based on our previous studies of bootstrap variability on large fingerprint data sets is employed to compute the measurement accuracies. Four high-accuracy and two low-accuracy fingerprint-image matching algorithms invoking different types of scoring systems are taken as examples.
NIST Interagency/Internal Report (NISTIR) - 7495
Report Number


Receiver operating characteristic (ROC) curve, Fingerprint matching, Nonparametric two-sample bootstrap, Standard errors, Confidence interval, Equal error rate


, J. (2008), Operational Measures and Accuracies of ROC Curve on Large Fingerprint Data Sets, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], (Accessed April 17, 2024)
Created May 8, 2008, Updated November 10, 2018