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NIST’s second Innovative Technologies Showcase, a setting where three NIST researchers will present their latest and greatest technology, has gotten off to a
The most accurate face recognition algorithms have demonstrated the capability to confirm airline passenger identities while making very few errors, according
The long term goal of NGBMS is to fill a rapidly growing technology gap by developing new testing methodologies and standards for evaluating very large-scale
Proprietary Fingerprint Template evaluations assess the accuracy of end-stage fingerprint matchers. These are the computationally-expensive algorithms used in
Researches and develops measurement and evaluation methods to advance and promote the use of technologies that 1) provide more effective access to multimedia
The Face Recognition Algorithm Independent Evaluation (CHEXIA-FACE) is being conducted to assess the capability of face detection and recognition algorithms to
Melissa Taylor, William Chapman, R. Austin Hicklin
This document is designed to help researchers in the United States navigate and comply with requirements and best practices for human subjects research, with
Yooyoung Lee, Craig Greenberg, Lisa Mason, Elliot Singer
The 2022 NIST language recognition evaluation (LRE22) is the 9th cycle in an on-going language recognition evaluation series that began in 1996. The objectives
This report is a part of a series of studies on the topic of face morphing, its relevance and implications as a vulnerability to automated face recognition, and
About The NIST Fingerprint Registration and Comparison Tool (NFRaCT) is a cross-platform GUI application which allows a user to load a pair of fingerprint
The biometrics community recommended a new, open source, generalized version of NFIQ to be developed in consultation and collaboration with users and industry.
NIST is pleased to announce that it has developed a capability to translate input and output from the major forensic dental systems (each of which uses
Biometric Evaluation Framework is a set of C++ classes, error codes, and design patterns used to create a common environment to provide logging, data management