Specification For Interoperability Testing Of Contactless Fingerprint Acquisition Devices
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Specification for Interoperability Testing of Contactless Fingerprint Acquisition Devices
This guidance specifies a protocol and associated metrics for the evaluation of contactless fingerprint acquisition device, and their interoperability with legacy devices. This protocol enables contactless fingerprint developers seeking certification of their devices to perform an integral role in the collection of measurements by which their device will be evaluated by the certifying authority or other stakeholders. The NIST Fingerprint Registration and Comparison Tool (NFRaCT) enables interested parties seeking testing for certification to collect fingerprint images and performance measurements using the NFRaCT and provide those measurements to the certifying authority for analysis and evaluation without requiring the exchange of any underlying fingerprint images. The protocol provides flexibility in that device performance can be evaluated and validated using live fingerprint impressions or three-dimensional (3D) fingerprint target artifacts.
Specification for Certification Testing of Contactless Fingerprint Acquisition Devices, V1.0
Specification for Certification Testing of Contactless Fingerprint Acquisition Devices, v1.0
Interoperability Assessment 2019
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.