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The most accurate face recognition algorithms have demonstrated the capability to confirm airline passenger identities while making very few errors, according
Researchers have spent more than three decades developing and studying miniature biosensors that can identify single molecules. In five to 10 years, when such
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
Some of the Multimodal Information Group's project areas span across multiple research areas within the group or to other groups in IAD. These interdisciplinary
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
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)
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
Elham Tabassi, Martin Olsen, Oliver Bausinger, Christoph Busch, Andrew Figlarz, Gregory Fiumara, Olaf Henniger, Johannes Merkle, Timo Ruhland, Christopher Schiel, Michael Schwaiger
NIST Fingerprint Image Quality (NFIQ 2) is open source software that links image quality of optical and ink 500 pixel per inch fingerprints to operational
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
Current Release: NBIS : Release 5.0.0 AboutThe NIST Biometric Image Software (NBIS) distribution is developed by the National Institute of Standards and