John M. Libert, John D. Grantham, Bruce Bandini, Kenneth Ko, Shahram Orandi, Craig I. Watson
This report describes computational comparison measurements as well as match error analysis applied to fingerprint images collected by researchers of the National Institute of Standards and Technology (NIST) in May of 2019. Fingerprint images from 200 Federal Employees were collected using both contact and contactless acquisition devices, including both stationary devices and mobile smartphone devices. Match scores from two different matchers were used to calculate False Negative Identification Rate (FNIR) and False Positive Identification Rate (FPIR) at two operational thresholds appropriate to each of the matchers. These values are displayed in graphical form across eight devices for each of ten finger combinations. Overall error performance is compared via Area Under Curve across devices for each of ten finger combinations as well as across finger combinations separately for each of the eight devices. Contact-to-contact interoperability remains superior to contactless-to-contact, but multiple finger combinations improve match performance of contactless devices.
, Grantham, J.
, Bandini, B.
, Ko, K.
, Orandi, S.
and Watson, C.
Interoperability Assessment 2019: Contactless-to-Contact Fingerprint Capture, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8307
(Accessed December 8, 2021)