Biometrics

News and Updates

Illustration shows passengers boarding an international flight and having their faces matched to previously taken photos before passing through the gate.

NIST Evaluates Face Recognition Software’s Accuracy for Flight Boarding

July 13, 2021

The most accurate face recognition algorithms have demonstrated the capability to confirm airline passenger identities while making very few errors, according

Identifying Individual Molecules: NIST Study Suggests How to Build a Better ‘Nanopore’ Biosensor

April 27, 2021

Researchers have spent more than three decades developing and studying miniature biosensors that can identify single molecules. In five to 10 years, when such

Face Recognition Software Shows Improvement in Recognizing Masked Faces

December 1, 2020

A new study of face recognition technology created after the onset of the COVID-19 pandemic shows that some software developers have made demonstrable progress

Projects and Programs

Statistical Friction Ridge Analysis (SFRA)

Ongoing

This project aims to develop a statistical measure of the uncertainty of the decisions made on the friction ridge evidence (i.e., evidential value of

Biometric Standards Program and Resource Center

This page is no longer maintained. It is provided for historical information. To learn about our current work, visit the Biometrics Program page.

Biometric Quality

Ongoing

Performance of biometric systems is dependent on the quality of the acquired input samples. If quality can be improved, either by sensor design, by user

Computational Biology: Comparison of Cell Image Segmentation Algorithms

Ongoing

With the advent of automated data acquisition systems in conjunction with on-line imaging devices, the biological researcher is potentially confronted with

Publications

Voice Biometrics: Future Trends and ChallengesAhead

January 4, 2022

Author(s)

Doug Reynolds, Craig Greenberg

Voice has become woven into the fabric of everyday human-computer interactions via ubiquitous assistants like Siri, Alexa, Google, Bixby, Viv, etc. The use of

NIST Special Database 302: Supplemental Release of Latent Annotations

November 2, 2021

Author(s)

Gregory Fiumara, Matthew Schwarz, Jessica Heising, Jennifer Peterson, Patricia A. Flanagan, Karen Marshall

The National Institute of Standards and Technology (NIST) released a collection of latent fingerprint images as part of Special Database (SD) 302 in December

Evaluating the Impact of Contactless Fingerprint Imagery Spatial Loss on Matcher Performance

September 23, 2021

Author(s)

Shahram Orandi, John M. Libert, Bruce Bandini, Kenneth Ko, John Grantham, Brian J. Cochran, Craig I. Watson

Observations in previous studies have shown that contactless capture devices may be prone to capturing superfluous data (e.g., fingernail or finger background)

Statistics of Visual Features in the Human Iris

August 16, 2021

Author(s)

George Quinn, James Matey, Patrick Grother, Edward Watters

In most current applications of iris recognition, matching is done by computer algorithms. The dominant algorithms are based on the work of John Daugman and are

Software

NFIQ 2

November 12, 2021

The biometrics community recommended a new, open source, generalized version of NFIQ to be developed in consultation and collaboration with users and industry.

Dental Encoding Translator Applications Suite (DEnTAS)

August 11, 2015

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

August 5, 2014

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

NIST Biometric Image Software (NBIS)

February 10, 2010

Current Release: NBIS : Release 5.0.0 AboutThe NIST Biometric Image Software (NBIS) distribution is developed by the National Institute of Standards and

Awards

P. Jonathon Phillips Honored with Career Achievement Award

Dr. P. Jonathon Phillips is a world-renowned expert in computer vision, face recognition, and biometrics and a pioneer in developing

Elham Tabassi - 2016 Women in Biometrics Award

Elham Tabassi, an electrical engineer in the Information Access Division, was one of four winners for the 2016 Women in Biometrics Award