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Search Publications by: George W. Quinn (Fed)

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Displaying 1 - 25 of 35

An Open Source Iris Segmentation Algorithm for Non-ideal Images

March 7, 2024
George W. Quinn
This document describes a new approach to localizing the iris boundaries in non-ideal iris images. The proposed algorithm starts by applying a series of morphological operations to enhance the salience of the iris boundaries while mitigating the impact of

Forensic Iris: A Review, 2022

July 18, 2022
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
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
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].

Tattoo Recognition Technology - Challenge (Tatt-C): Outcomes and Recommendations

September 15, 2015
Mei L. Ngan, George W. Quinn, Patrick J. Grother
Tattoos have been used for many years to assist law enforcement in investigations leading to the identification of both criminals and victims. A tattoo is an elective biometric trait that contains additional discriminative information to support person

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 V: Guidance for Iris Image Collection

June 12, 2014
George W. Quinn, JAmes Matey, Elham Tabassi, Patrick J. Grother
This document provides guidance for the proper collection of iris images. Problems that occur during image acquisition can lead to poor quality samples. If the subject was looking down or blinking at the moment of capture, the image should be rejected and

IREX IV: Part 2 Compression Profiles for Iris Image Compression

January 23, 2014
George Quinn, Patrick Grother, Mei Ngan, Nick Rymer
The IREX IV evaluation builds upon IREX III as a performance test of one-to-many iris recognition. This report is the second part of the IREX IV evaluation, which specifically, evaluates the ability of automated iris recognition algorithms to match heavily

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