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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
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
John M. Libert, Shahram Orandi, Bruce Bandini, Kenneth Ko, Craig I. Watson, Christopher Stafford, Matthew E. Staymates, John Grantham
This guidance specifies a protocol and associated metrics for the evaluation of contactless fingerprint acquisition device, and their interoperability with
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)
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
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