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Gregory P. Fiumara, Patricia A. Flanagan, John D. Grantham, Kenneth Ko, Karen Marshall, Matthew Schwarz, Elham Tabassi, Bryan Woodgate, Christopher Boehnen
In September 2017, the Intelligence Advanced Research Projects Activity (IARPA) held a data collection as part of its Nail to Nail (N2N) Fingerprint Challenge. Participating Challengers deployed devices designed to collect an image of the full nail to nail
This document establishes a concept of operations (CONOPS) for the Iris Exchange (IREX) 10 Ongoing Evaluation of Iris Recognition, Identification Track.
James R. Matey, George W. Quinn, Patrick J. Grother
The IRis EXchange (IREX) program at NIST employs best measurement practices to support the development, standardization, and interoperability of iris-based technology through ongoing evaluations of that technology; IREX evaluations provide information that
This report updates and extends NIST Interagency Report 8238, documenting performance of new face recognition algorithms submitted for evaluation to NIST in November 2018. The algorithms implement one-to-many identification of faces appearing in two-
NIST provided in a special publication guidance for the compression of 1000 ppi fingerprint images using Part I of the JPEG 2000 standard. The present document extends the Guidance to the compression of 1000 ppi palm and whole-hand images. The NIST
Gregory P. Fiumara, Kenneth Ko, Elham Tabassi, Patricia A. Flanagan, John D. Grantham, Karen Marshall, Matthew Schwarz, Bryan Woodgate
In September 2017, the Intelligence Advanced Research Projects Activity held a fingerprint data collection as part of the Nail to Nail Fingerprint Challenge. Thousands of latent fingerprint images collected at the Challenge were searched against rolled
This report documents performance of face recognition algorithms applied to the one-to-many identification of faces appearing in portrait images. The primary dataset is comprised of 26.6 million reasonably well controlled live photos of 12.3 million
NIST performed a large scale empirical evaluation of tattoo recognition algorithms. The test leveraged large operational datasets comprised of tattoo images from law enforcement databases, enabling evaluation with enrollment database sizes of up to 100,000
James R. Matey, George W. Quinn, Patrick J. Grother, Craig I. Watson, Shahram Orandi
This paper is a summary of our current recommendations for iris camera selection. NIST is developing these recommendations in collaboration with the FBI, other US Government entities with interests in the use of iris recognition technology, and the larger
Omid Sadjadi, Timothee N. Kheyrkhah, Craig Greenberg, Douglas A. Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
The 2017 NIST language recognition evaluation (LRE) was held in the autumn of 2017. Similar to the past LRE's, the basic task in LRE17 was language detection, with an emphasis on discriminating closely related languages (14 in total) selected from 5
John M. Libert, John D. Grantham, Bruce Bandini, Stephen S. Wood, Michael D. Garris, Kenneth Ko, Frederick R. Byers, Craig I. Watson
This document details efforts undertaken by the National Institute of Standards and Technology (NIST) to develop measurements and a protocol for the evaluation of contactless (touchless) fingerprint acquisition devices. Contactless fingerprint capture
Gregory P. Fiumara, Patricia A. Flanagan, Matthew Schwarz, Elham Tabassi, Christopher Boehnen
In April 2017, the Intelligence Advanced Research Projects Activity (IARPA) held a dry run for the data collection portion of its Nail to Nail (N2N) Fingerprint Challenge. This data collection event was designed to ensure that the real data collection