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Information Technology

Biometrics

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Displaying 201 - 225 of 412

Real-time Feedback for Usable Fingerprint Systems

October 11, 2011
Author(s)
Mary F. Theofanos, Brian C. Stanton, Yee-Yin Choong, Haiying Guan
Compared with traditional password and other identification methods, biometrics like face, iris, and fingerprint for automatic personal identification/verification have many advantages, and are increasingly gaining popularity in all kinds of applications

Iris Quality Calibration and Evaluation (IQCE): Evaluation Report

September 24, 2011
Author(s)
Elham Tabassi, Patrick J. Grother, Wayne J. Salamon
Iris is rapidly gaining acceptance and support as a viable biometric. Several large scale identity management applications are either using or considering iris as their secondary or primary biometric for verification. While there are several academic

ANSI/NIST-ITL 1-2011 Requirements and Conformance Test Assertions

September 16, 2011
Author(s)
Christofer J. McGinnis, Dylan J. Yaga, Fernando L. Podio
The current version of the ANSI/NIST-ITL standard "Data Format for the Interchange of Fingerprint, Facial & Other Biometric Information" is specified in two parts. Part 1, ANSI/NIST-ITL 1-2007, specifies the traditional format, and Part 2, ANSI/NIST-ITL 2

Standards and Biometrics

September 15, 2011
Author(s)
Bradford J. Wing
This paper addresses the importance of standards when implementing or using biometric systems. Standards have been developed to ensure that biometric systems can effectively and accurately meet users’ needs such as protecting data integrity, privacy, and

A Field Study of User Behavior and Perception in Smartcard Authentication

September 9, 2011
Author(s)
Emile L. Morse, Celeste L. Paul, Aiping L. Zhang, Yee-Yin Choong, Mary F. Theofanos
A field study of 24 participants over 10 weeks explored user behavior and perception in a smartcard authentication system. Ethnographic methods used to collect data included diaries, surveys, interviews, and field observations. We observed a number of

Defining AFIS Latent Print "Lights-Out"

September 8, 2011
Author(s)
Stephen Meagher, Vladimir N. Dvornychenko
The term "lights-out" for AFIS ten-print fingerprint operations has been around for many years and is generally understood to mean "no human intervention is involved." But is this term appropriate for AFIS latent print operations? This IR examines seven

NIST Special Databse 32 - Multiple Encounter Dataset II (MEDS-II)

July 21, 2011
Author(s)
Andrew P. Founds, Nick Orlans, Whiddon Genevieve, Craig I. Watson
This document and associated dataset is an update to the Multiple Encounter Dataset I (MEDS-I), originally published by the National Institute of Standards and Technology (NIST) in May 2010. The MEDS is a test corpus organized from an extract of submission

Conformance Test Architecture and Test Suite for ANSI/NIST-ITL 1-2007

June 22, 2011
Author(s)
Fernando L. Podio, Dylan J. Yaga, Christofer J. McGinnis
The Computer Security Division of NIST/ITL supports the development of biometric conformance testing methodology standards and other conformity assessment efforts through active technical participation in the development of these standards and the

Effects of JPEG 2000 Image Compression on 1000ppi Fingerprint Imagery

May 26, 2011
Author(s)
Shahram Orandi, John M. Libert, John Grantham, Kenneth Ko, Stephen S. Wood, Jin Chu Wu
This paper presents the findings of a study conducted to measure the impact of JPEG 2000 compression on fingerprint imagery at various levels of compression. The impact of compression is measured in terms of impact to both Galton and non-Galton based

Robust Iris Recognition Baseline for the Grand Challenge

May 17, 2011
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips
Due to its distinctiveness, the human iris is a popular biometric feature used to identity a person with high accuracy. The “Grand Challenge” in iris recognition is to have an effective algorithm for subject verification or identification under a broad

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

An Introduction to the Good, the Bad, & the Ugly Face Recognition Challenge Problem

March 16, 2011
Author(s)
P J. Phillips, J. R. Beveridge, Bruce A. Draper, Geof H. Givens, Alice J. O'Toole, David Bolme, Joseph Dunlop, Yui M. Lui, Hassan A. Sahibzada, Samuel Weimer
The Good, the Bad, & the Ugly Face Challenge Problem was created to encourage the development of algorithms that are robust to recognition across changes that occur in still frontal faces. The Good, the Bad, & the Ugly consists of three partitions. The

When High-Quality Face Images Match Poorly

March 13, 2011
Author(s)
J. R. Beveridge, P. Jonathon Phillips, Geof H. Givens, Bruce A. Draper, Mohammad N. Teli, David Bolme
In face recognition, quality is typically thought of as a property of individual images, not image pairs. The implicit assumption is that high-quality images should be easy to match to each other, while low quality images should be hard to match. This

Demographic Effects on Estimates of Automatic Face Recognition Performance

March 11, 2011
Author(s)
Alice J. O'Toole, P. Jonathon Phillips, Xiaobo An, Joseph Dunlop
The intended applications of automatic face recognition systems include venues that vary widely in demographic diversity. Formal evaluations of algorithms do not commonly consider the effects of population diversity on performance. We document the effects

An Introduction to the Good, the Bad, & the Ugly Face Recognition Challenge Problem

March 10, 2011
Author(s)
P J. Phillips, J. R. Beveridge, Bruce A. Draper, Geof H. Givens, Alice J. O'Toole, David Bolme, Joseph Dunlop, Yui M. Lui, Hassan A. Sahibzada, Samuel Weimer
The Good, the Bad, & the Ugly Face Challenge Problem was created to encourage the development of algorithms that are robust to recognition across changes in illumination that occur in still frontal faces. The Good, the Bad, & the Ugly consists of three

Demographic Effects on Estimates of Automatic Face Recognition Performance

March 10, 2011
Author(s)
Alice J. O'Toole, P. Jonathon Phillips, Xiaobo An, Joseph Dunlop
The intended applications of automatic face recognition systems include venues that vary widely in demographic diversity. Formal evaluations of algorithms do not commonly consider the effects of population diversity on performance. We document the effects

Empirical Evidence for Increased False Reject Rate with Time Lapse in ICE 2006

March 10, 2011
Author(s)
Sarah E. Baker, Patrick J. Flynn, Kevin W. Bowyer, P. Jonathon Phillips
We present results of the first systematic study to investigate the degree to which template aging occurs for iris biometrics. Our experiments use an image data set with approximately four years of elapsed time between the earliest and most recent images

Improving Face Recognition Technology

March 9, 2011
Author(s)
P J. Phillips
US-government sponsored evaluations and challenge problems have helped spur over two-orders-of-magnitude improvement in face recognition system performance.

When High-Quality Face Images Match Poorly

March 9, 2011
Author(s)
J. R. Beveridge, P. Jonathon Phillips, Geof H. Givens, Bruce A. Draper, Mohammad N. Teli, David Bolme
In face recognition, quality is typically thought of as a property of individual images, not image pairs. The implicit assumption is that high-quality images should be easy to match to each other, while low quality images should be hard to match. This

Who is Who? Biometrics provides answers for public and private sectors

February 10, 2011
Author(s)
Fernando L. Podio
One of the critical issues related to secured Information Technology (IT) systems and applications is the verification of the users identity. Biometrics provides for secure transactions, positive identification and augmentation to human judgment. For

Measures, Uncertainties, and Significance Test in Operational ROC Analysis

January 31, 2011
Author(s)
Jin Chu Wu, Alvin F. Martin, Raghu N. Kacker
In operational ROC (receiver operating characteristic) analysis of fingerprint-image matching algorithms on large datasets, the measures and their accuracies are investigated in the three scenarios: 1) the true accept rate (TAR) of genuine scores at a
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