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Search Publications by: Patrick J. Grother (Fed)

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Displaying 1 - 25 of 100

Forensic Iris: A Review, 2022

July 18, 2022
Author(s)
James Matey, George W. Quinn, Patrick J. Grother
John Daugman correctly summarized the state of forensic iris recognition circa 2006 for the book Forensic Human Identification: an Introduction [1]: Iris recognition has limited forensic value, because (unlike fingerprints or DNA, for example) (1) iris

Statistics of Visual Features in the Human Iris

August 16, 2021
Author(s)
George W. Quinn, James Matey, Patrick J. Grother, Edward Watters
In most current applications of iris recognition, matching is done by computer algorithms. The dominant algorithms are based on the work of John Daugman and are well understood because of the extensive analysis in the literature of iris2pi (the shorthand

Analysis of Iris Images in Nicholas Nixon: The Brown Sisters

June 17, 2020
Author(s)
James R. Matey, Patrick J. Grother, George W. Quinn
In this paper we present results that expand on the Afghan Girl study by Daugman using gray-scale photographs of 4 subjects taken every year for 40 years: The Brown Sisters photographic project by Nicholas Nixon. We extracted iris images from the

Analysis of Iris Images from Twins Day – 2010

June 16, 2020
Author(s)
James R. Matey, Patrick J. Grother, George W. Quinn
Each year since 1976, the town of Twinsburg, Ohio has held a Twins Day Festival. Over the past 43 years over $77,000$ sets of twins and multiples have attended -- with many repeat visits over the years. Prof. Jeremy Dawson and other staff from the the West

IREX Validation Dataset 2019

September 16, 2019
Author(s)
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

Face Recognition Vendor Test (FRVT) Part 2: Identification

September 13, 2019
Author(s)
Patrick Grother, Mei Ngan, Kayee Hanaoka
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-

Ongoing Face Recognition Vendor Test (FRVT) Part 2: Identification

November 27, 2018
Author(s)
Patrick J. Grother, Mei L. Ngan, Kayee K. Hanaoka
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

Iris Cameras: Standards Relevant for Camera Selection - 2018

September 18, 2018
Author(s)
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

IREX IX Part One, Performance of Iris Recognition Algorithms

April 18, 2018
Author(s)
George W. Quinn, James R. Matey, Patrick J. Grother
Iris Exchange (IREX) IX is an evaluation of automated iris recognition algorithms. The first part of the evaluation is a performance test of both verification (one-to-one) and identification (one-to-many) recognition algorithms over operational test data

The Text Recognition Algorithm Independent Evaluation (TRAIT)

December 15, 2017
Author(s)
Afzal A. Godil, Patrick J. Grother, Mei L. Ngan
The report describes and presents the results for text detection and recognition (TRAIT) evaluation in support of forensic investigations of digital media. These im- ages are of interest to NIST’s partner law enforcement agencies that seek to employ text

The 2017 IARPA Face Recognition Prize Challenge (FRPC)

November 27, 2017
Author(s)
Patrick J. Grother, Mei L. Ngan, Lars Ericson, Kayee K. Hanaoka, Christopher Boehnen
This report documents NIST’s execution of the Intelligence Advanced Research Projects Activity (IARPA) Face Recognition Prize Challenge 2017. The (FRPC) was conducted to assess the capability of contemporary face recognition algorithms to recognize faces