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Search Publications by James Matey

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Displaying 1 - 13 of 13

Analysis of Iris Images from Twins Day – 2010

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

IREX Validation Dataset 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

Iris Cameras: Standards Relevant for Camera Selection - 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

Documentation for ROC Baseline 2016

Author(s)
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

Author(s)
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

IREX IV: Part 1, Evaluation of Iris Identification Algorithms

Author(s)
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

IREX VI - Temporal Stability of Iris Recognition Accuracy

Author(s)
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

IREX III - Performance of Iris Identification Algorithms

Author(s)
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