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Gregory Fiumara (Fed)

Computer Scientist

Gregory Fiumara has been a Computer Scientist with NIST's Image Group since 2008. He leads NIST's fingerprint technology evaluations, including MINEX, PFT, SlapSeg, and ELFT. Greg is an active software developer and systems administrator in the group, maintaining and contributing to open source projects such as NFIQ 2 and Biometric Evaluation framework, the latter earning him a U.S. Department of Commerce Silver Medal in 2014. He actively contributes to the development of biometric and identity standards, including serving as the editor for ISO/IEC 29794-4. In 2020, Greg established a new focus area for biometric forensic science in the NIST Special Programs Office, helping to advance metrology that directly impacts practitioners.


U.S. Department of Commerce Silver Medal Award for Exceptional Service. "For creating an unprecedented biometric evaluation capability that accelerated forensic standards development and innovation in biometric technology." (2014)


Personal Identity Verification (PIV) of Federal Employees and Contractors

Hildegard Ferraiolo, Andrew Regenscheid, Salvatore Francomacaro, David Cooper, Ketan Mehta, Annie W. Sokol, David Temoshok, Gregory Fiumara, Justin Richer, James L. Fenton, Johnathan Gloster, nabil anwer
FIPS 201 establishes a standard for a Personal Identity Verification (PIV) system (Standard) that meets the control and security objectives of Homeland Security

NIST Special Database 302: Supplemental Release of Latent Annotations

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

NIST Fingerprint Image Quality 2

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

NIST Special Database 302: Nail to Nail Fingerprint Challenge

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
Created July 30, 2019, Updated December 8, 2022