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Information Technology

Biometrics

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Displaying 551 - 575 of 804

Meta-Analysis of Third-Party Evaluations of Iris Recognition

August 24, 2007
Author(s)
Elaine M. Newton, P J. Phillips
Iris recognition has long been widely regarded as a highly accurate biometric, despite the lack of independent, large-scale testing of its performance. Recently, however, three third-party evaluations of iris recognition were performed. This paper compares

Concepts of Operations (CONOPS) for the Evaluation of Latent Fingerprint Technologies (ELFT)

June 12, 2007
Author(s)
Vladimir N. Dvornychenko, Brian J. Cochran, Patrick J. Grother, Michael D. Indovina, Craig I. Watson
The National Institute of Standards and Technology (NIST) is conducting a series of tests for evaluating the state of the art in Automated Latent Fingerprint matching. The intent of the testing is to quantify the core algorithmic capability of contemporary

Performance of Biometric Quality Measures

April 16, 2007
Author(s)
Patrick Grother, Elham Tabassi
We document methods for the quantitative evaluation of systems that produce a scalar summary of a biometric sample¿s quality. We predicate this on the idea that the quality measure predicts performance, whether by design or correlation. We do this

Face Recognition Vendor Test 2006 and Iris Challenge Evaluation 2006 Large-Scale Results

March 29, 2007
Author(s)
P J. Phillips, K W. Bowyer, P J. Flynn, Alice J. O'Toole, W T. Scruggs, Cathy L. Schott, Matthew Sharpe
The Face Recognition Vendor Test (FRVT) 2006 and Iris Challenge Evaluation (ICE) 2006 are independent U.S. Government evaluations of face and iris recognition performance. These evaluations were conducted simultaneously at NIST using the same test

Comment on the CASIA v1 Iris Dataset

March 26, 2007
Author(s)
P J. Phillips, K W. Bowyer, P J. Flynn
The paper by Ma et al. [1] made a number of contributions to iris recognition including a novel iris recognition algorithm, a benchmark of standard approaches to iris recognition, and the establishment of an iris data set. The data set, Chinese Academy of

User's Guide to NIST Biometric Image Software (NBIS)

January 21, 2007
Author(s)
Kenneth Ko
This document (User's Guide to NIST Biometric Image Software (NBIS)) is renamed from the User's Guide to NIST Fingerprint Image Software (NFIS). In other word, this document is a replacement for the User's Guide to NIST Fingerprint Image software (NFIS)