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Search Publications by James Matey

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Displaying 1 - 15 of 15

The NIST IrisDaily Dataset: Description and Initial Analysis

May 4, 2021
James Matey
This paper describes a dataset, IrisDaily-NIST, that is under construction by NIST. At the present, this dataset has (nearly) daily iris images of a single subject collected with a commercial iris camera over a period of approximately 4 months. The purpose

Iris Recognition on Noah Kalina's Everyday

April 26, 2021
James Matey
In January 2000, Noah Kalina began taking a photograph of himself every day – and has continued for more than 20 years. A time-lapse video of his images can be seen online: EveryDay. These images, and images from similar projects, provide us with

Analysis of Iris Images in Nicholas Nixon: The Brown Sisters

June 17, 2020
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
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
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

Iris Cameras: Standards Relevant for Camera Selection - 2018

September 18, 2018
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
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

Documentation for ROC Baseline 2016

July 13, 2016
James R. Matey, Su L. Cheng, Patrick J. Grother, Mei L. Ngan, George W. Quinn, Elham Tabassi, Craig I. Watson
We present ROC baseline data to support the recommendations in Matey et al [6].

Modest proposals for improving biometric recognition papers

August 31, 2015
James R. Matey, George W. Quinn, Patrick J. Grother, Elham Tabassi, Craig I. Watson, James L. Wayman
We present practical recommendations for improving the clarity, transparency, and usefulness of many biometric papers. Several of the recommendations can be enabled by preparing a publicly available library of state of the art Receiver Operating

IREX IV: Part 1, Evaluation of Iris Identification Algorithms

July 11, 2013
George W. Quinn, Patrick J. Grother, Mei L. Ngan, James R. Matey
IREX IV aims to provide a fair and balanced scientific evaluation of the performance of automated iris recognition algorithms. IREX IV evaluated the performance of 66 identification (i.e. one-to-many matching) algorithms submitted by 12 companies and

IREX VI - Temporal Stability of Iris Recognition Accuracy

July 11, 2013
Patrick J. Grother, James R. Matey, Elham Tabassi, George W. Quinn, Michael Chumakov
Background: Stability is a required definitional property for a biometric to be useful. Quantitative statements of stability are operationally important as they dictate re-enrollment schedules e.g. of a face on a passport. Ophthalmologists consider the

IREX III - Performance of Iris Identification Algorithms

April 3, 2012
Patrick J. Grother, George W. Quinn, James R. Matey, Mei L. Ngan, Wayne J. Salamon, Gregory P. Fiumara, Craig I. Watson
Iris recognition has long been held as an accurate and fast biometric. In the first public evaluation of one-to-many iris identification technologies, this third activity in the Iris Exchange (IREX) program has measured the core algorithmic efficacy and