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Search Publications by: George W. Quinn (Fed)

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Displaying 26 - 34 of 34

IREX III Supplement 1: Failure Analysis

April 18, 2012
Author(s)
George W. Quinn, Patrick J. Grother
Iris recognition has the potential to be extremely accurate, but it is highly dependent on the quality of the input data. Iris occlusion, off-axis gaze, blurred images, and iris rotation are common problems that can make recognizing individuals more

IREX III - Performance of Iris Identification Algorithms

April 3, 2012
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 third activity in the Iris Exchange (IREX) program has measured the core algorithmic efficacy and

Performance of Face Recognition Algorithms on Compressed Images

December 1, 2011
Author(s)
George W. Quinn, Patrick J. Grother
This report provides a comprehensive assessment of the ability of face recognition algorithms to compare compressed standard face images. Six well performing algorithms from the Multiple Biometric Evaluation (MBE) 2010 Still Face Track are used to compare

Distinguishing Identical Twins by Face Recognition

March 21, 2011
Author(s)
P J. Phillips, Patrick J. Flynn, Kevin W. Bowyer, Richard W. Vorder Bruegge, Patrick J. Grother, George W. Quinn, Matthew Pruitt
The paper measures the ability of face recognition algorithms to distinguish between identical twin siblings. The experimental dataset consists of images taken of 126 pairs of identical twins (252 people) collected on the same day and 24 pairs of identical

Report on the Evaluation of 2D Still-Image Face Recognition Algorithms

June 17, 2010
Author(s)
Patrick J. Grother, George W. Quinn, P J. Phillips
The paper evaluates state-of-the-art face identification and verification algorithms, by applying them to corpora of face images the population of which extends into the millions. Performance is stated in terms of core accuracy and speed metrics, and the

IREX I: Performance of Iris Recognition Algorithms on Standard Images

October 30, 2009
Author(s)
Patrick J. Grother, Elham Tabassi, George W. Quinn, Wayne J. Salamon
The IREX program supports the development of interoperable iris imagery for use in high performance biometric applications. The IREX evaluation, was conducted in cooperation with the iris recognition industry to demonstrate that standardized image formats

An Evaluation of Automated Latent Fingerprint Identification Technology (Phase II)

April 2, 2009
Author(s)
Michael D. Indovina, Vladimir N. Dvornychenko, Elham Tabassi, George W. Quinn, Patrick J. Grother, Stephen Meagher, Michael D. Garris
The National Institute of Standards and Technology (NIST), with the cooperation of eight technology providers, performed a test of accuracy for searching latent fingerprints when using automatically extracted features and matching (AFEM). This test is

When to Fuse Two Biometrics?

June 13, 2006
Author(s)
Elham Tabassi, Patrick J. Grother, George W. Quinn
Biometric fusion, acquisition and combination of multiple pieces of evidence of identity, can achieve higher accuracy of biometric recognition than using a single biometric. However, fusion increases the cost or throughput of the system since it requires

Computer Modeling of Crack Propagation in Biaxially-Stressed Glass Disks

February 1, 2004
Author(s)
George W. Quinn, Dianne M. O'Leary, Janet Quinn
A computer program was written to model the propagation of two-dimensional traveling cracks in a biaxially-stressed glass disk. This was accomplished by using a combination of known fractographic equations and empirical observations with generic algorithms