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Elham Tabassi

Acting Chief of Staff, Information Technology Labortory

Elham Tabassi is the acting Chief of Staff in the Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST).  ITL, one of six research Laboratories within NIST, supports NIST’s mission, to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. ITL conducts fundamental and applied research in computer science and engineering, mathematics, and statistics that cultivates trust in information technology and metrology by developing and disseminating standards, measurements, and testing for interoperability, security, usability, and reliability of information systems.  

As a scientist she has been working on various computer vision research projects with applications in biometrics evaluation and standards since 1999.  She is the principal architect of NIST Fingerprint Image Quality (NFIQ) which is now an international standard for measuring fingerprint image quality and has been deployed in many large scale biometric applications worldwide.  She received the Department of Commerce Gold Medal in 2003, the Department of Commerce Bronze Medal in 2007, and 2010, ANSI’s 2012 Next Generation Award, and the Women in Biometrics Award in 2016 for her contributions to biometrics. She is a member of OSAC Friction Ridge subcommittee and co-chairs FIDO Biometrics Certification working group.

Publications

Nail to Nail Fingerprint Challenge: Enrollment Set Size Variability

Author(s)
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.

NIST Special Database 301: Nail to Nail Fingerprint Challenge Dry Run

Author(s)
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

Nail to Nail Fingerprint Challenge: Prize Analysis

Author(s)
Gregory P. Fiumara, Elham Tabassi, Patricia A. Flanagan, John D. Grantham, Kenneth Ko, Karen Marshall, Matthew Schwarz, Bryan Woodgate, Christopher Boehnen
In September 2017, the Intelligence Advanced Research Projects Activity held a fingerprint data collection as part of the Nail to Nail Fingerprint Challenge.

Latent Fingerprint Value Prediction: Crowd-based Learning

Author(s)
Elham Tabassi, Anil K. Jain, Tarang Chugh, Kai Cao, Jiayu Zhou
Latent fingerprints are one of the most crucial sources of evidence in forensic investigations. As such, devel- opment of automatic latent fingerprint
Created May 7, 2019, Updated July 5, 2019