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Search Publications by: Patrick J. Grother (Fed)

Displaying 51 - 75 of 193

NISTIR 8109 - Tattoo Recognition Technology - Best Practices (Tatt-BP) - Guidelines for Tattoo Image Collection

September 6, 2016

Author(s)

Mei L. Ngan, George W. Quinn, Patrick J. Grother

Documentation for ROC Baseline 2016

July 13, 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].

Tattoo Recognition Technology - Best Practices (Tatt-BP): Guidelines for Tattoo Image Collection

February 25, 2016

Author(s)

Mei L. Ngan, George W. Quinn, Patrick J. Grother

This document, along with a supplementary poster and a set of instructional slides, provides best practice guidelines for the collection of good quality tattoo images. As an outcome of the Tatt-C 2015 activity, algorithm failure to correctly match a tattoo

IREX VI: Mixed-effects Longitudinal Models for Iris Aging: Response to Bowyer and Ortiz

November 20, 2015

Author(s)

Patrick Grother, James Matey, George Quinn

Bowyer and Ortiz, in their paper "A Critical Examination of the IREX VI Results", make seven criticisms of our application of linear mixed-effects models to longitudinally collected iris recognition Hamming Distances. We reject these as either irrelevant

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

September 15, 2015

Author(s)

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

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 enabled by preparing a publicly available library of state of the art Receiver Operating

Face Recognition Vendor Test (FRVT) - Performance of Automated Gender Classification Algorithms

April 20, 2015

Author(s)

Mei L. Ngan, Patrick J. Grother

Facial gender classification is an area studied in the Face Recognition Vendor Test (FRVT) with Still Facial Images Track. While peripheral to automated face recognition, it has become a growing area of research, given its potential use in various

Tattoo Recognition Technology - Challenge (Tatt-C): An Open Tattoo Database for Developing Tattoo Recognition Research

March 31, 2015

Author(s)

Mei L. Ngan, Patrick J. Grother

Tattoos have been used for many years to assist law enforcement in investigations leading to the identification of criminals and victims. While tattoos lack the distinctiveness and permanence characteristics of a primary biometric trait, it is an elective

IREX V: Guidance for Iris Image Collection

June 12, 2014

Author(s)

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

Face Recognition Vendor Test (FRVT) Performance of Face Identification Algorithms NIST IR 8009

May 20, 2014

Author(s)

Patrick J. Grother, Mei Lee Ngan

This report documents performance of one-to-many face identification algorithms, and compares it with that in 2010. Performance in this context refers recognition accuracy and computational resource usage as measured by executing those algorithms on

Face Recognition Vendor Test (FRVT) - Performance of Automated Age Estimation Algorithms

March 20, 2014

Author(s)

Mei L. Ngan, Patrick J. Grother

Facial Age Estimation is an area of study new to the Face Recognition Vendor Test (FRVT) Still Track. While peripheral to traditional face recognition, it has become a growing area of research given its potential use in commercial and biometric

IREX IV: Part 2 Compression Profiles for Iris Image Compression

January 23, 2014

Author(s)

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

Biometric Specifications for Personal Identity Verification

July 11, 2013

Author(s)

Patrick J. Grother, Wayne J. Salamon, Ramaswamy Chandramouli

Homeland Security Presidential Directive HSPD-12, Policy for a Common Identification Standard for Federal Employees and Contractors [HSPD-12], called for new standards to be adopted governing interoperable use of identity credentials to allow physical and