Biometric performance evaluation is done by performing many genuine and impostor comparisons and analyzing produced similarity scores or match decisions.
Error rates are calculated as the proportion of • impostor attempts that are falsely accepted (FAR), and • genuine attempts that are falsely rejected (FRR)..
NIST's biometric activities include: research on the various biometric modalities: fingerprint, face, iris, voice, DNA, and multimodal; standards development at the national and international level; and technology testing and evaluation, which leads to innovation..
Biometric verification is any means by which a person can be uniquely identified by evaluating one or more distinguishing biological traits.
These biological identifiers include fingerprints, hand and earlobe geometries, retina patterns, voice prints and written signatures..
The quality score is a representation of the fingerprints' ability to match against a database such as IAFIS.
NFIQ 1 ranks the image from 1 to 5 with 1 being the best quality, and 5 being the worst quality.
NFIQ 2 ranks the image from 100 to 1 with 100 being the best quality, and 1 being the worst quality..
Biometrics take cyber security authentication to a whole new level.
Because biometric identifiers are so unique—no two fingerprints or voice patterns are exactly alike—the possibility of unauthorized access is drastically reduced.
It's no longer just about what you know or have; it's about who you are..
Biometrics are human measurements that can be used to identify a person for a variety of applications, e.g., to grant access to devices, systems or data. NIST hasve been testing and evaluating biometric recognition technologies and assisting in determining where and how biometric recognition technology can best be deployed.
Face Recognition Face Re.
The NIST computer vision program includes several activities contributing to the development of technologies that extract information from image and video streams through systematic, targeted annual evaluations and metrology advances.
Open Media Forensics Challenge The Open Media Forensics Challenge (OpenMFC) Evaluation is the annual evaluation ope.
NIST is strengthening forensic practice through research and improved standards.
Efforts involve three key components: science, policy, and practice.
Media Forensics Challenge The Media Forensics Challenge (MFC) Evaluation is the annual evaluation to support research and help advance the state of the art for image and video forensics technologies –.
The information retrieval research uses large, human-generated text, speech, and video files to create test collections through organizing the TREC, TRECVID, and TAC conferences.
NIST continues to create new test collections, focusing mainly on collections to support specific information retrieval sub-tasks such as cross-language retrieval and mult.
NIST has research efforts in measurement science, standards, and technology evaluations related to manufacturing and robotics.
Manufacturing Robotics Testbed: The Manufacturing Robotics Testbed consists of several labs located in three buildings on the main NIST campus.
Combined, these serve as a resource for research in robotics for advanced manuf.
NIST's Natural Language Processing (NLP) research involves developing large corpora of human-generated text as well as common metrics and evaluation procedures.
NIST's research in NLP supports broad technology areas, including information retrieval, machine translation, and low-resource language applications.
Text REtrieval Conference The Text REtr.
NIST AI Measurement and Evaluation Projects Share Facebook Linkedin Twitter Email Biometrics Biometrics are human measurements that can be used to identify a person for a variety of applications, e.g., to grant access to devices, systems or data.
NIST (because of its mission and track record) supports the government-wide effort to increase the collection of good quality biometrics, to see that the data collected is appropriately shared with other agencies, and to make sure biometric systems are accurate and interoperable.
Two NIST evaluation studies will help software better detect photo spoofs and image quality issues.
Hundreds sign up for the upcoming NIST Innovative Technologies Showcase 2 March 8, 2023 NIST’s second Innovative Technologies Showcase, a setting where three NIST researchers will present their latest and greatest technology, has gotten off to a .
