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Topic Area: Biometrics
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Displaying records 261 to 270 of 275 records.
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261. Usability Testing of Height and Angles of Ten-Print Fingerprint Capture
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7504
Topic: Biometrics
Published: 5/11/2008
Authors: Mary Frances Theofanos, Brian C Stanton, Charles L Sheppard, Ross J Micheals, John W. Wydler II, Nien F Zhang, Lawrence Nadel, William Rubin
Abstract: As the deployment of biometric technologies such as fingerprints has become more widespread in government applications there is an increased awareness of the human-computer interaction that such technologies involve. User behavior can impact operatio ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152149

262. Usability and Biometrics: Ensuring Successful Biometric Systems
Topic: Biometrics
Published: 6/11/2008
Authors: Mary Frances Theofanos, Brian C Stanton, Cari Wolfson
Abstract: The National Institute of Standards and Technology (NIST)Visualization and Usability Gropu initiated a Usability and Biometrics effort to focus on the users and human factors of biometric systems. The goal of this effort has been to conduct research ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152184

263. Use of ISO/IEC 24727
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7611
Topic: Biometrics
Published: 8/14/2009
Authors: Hildegard Ferraiolo, Teresa Schwarzhoff, William I. (William I) MacGregor, Hung Dang, Ketan Mehta
Abstract: This document describes the use of ISO/IEC 24727 in enabling client-applications to access identity credentials issued by different credential issuers.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903232

264. User's Guide to NIST Biometric Image Software (NBIS)
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7392
Topic: Biometrics
Published: 1/21/2007
Author: Kenneth Ko
Abstract: 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 (NF ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51097

265. User's Guide to NIST Fingerprint Image Software (NFIS)
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 6813
Topic: Biometrics
Published: 11/1/2001
Authors: Michael D Garris, Craig I Watson, R. McCabe, Charles L. Wilson
Abstract: This report documents a public domain fingerprint image software distribution developed by the National Institute of Standards and Technology (NIST) for the Federal Bureau of Investigation (FBI). The software technology contained in this distributio ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151534

266. Using Chebyshev's Inequality to Determine Sample Size in Biometric Evaluation of Fingerprint Data
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7273
Topic: Biometrics
Published: 11/1/2005
Authors: Jin Chu Wu, Charles L. Wilson
Abstract: For fingerprint dataset, which in many cases may exceed a million samples, the underlying distribution function with respect to similarity scores is unknown. The size of biometric evaluation test sample in these cases is an important question. In thi ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150411

267. Using Self-Organizing Recognition as a Mechanism for Rejecting Segmentation Errors
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 4938
Topic: Biometrics
Published: 10/1/1992
Authors: R A Wilkinson, Michael D Garris, Charles L. Wilson
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900657

268. VASIR: An Open-Source Research Platform for Advanced Iris Recognition Technologies
Series: Journal of Research (NIST JRES)
Report Number: 118.011
Topic: Biometrics
Published: 4/22/2013
Authors: Yooyoung Lee, Ross J Micheals, James J Filliben, P Jonathon Phillips
Abstract: The performance of iris recognition systems is frequently affected by input image quality, which in turn is vulnerable to less-than-optimal conditions due to illuminations, environments, and subject characteristics (e.g., distance, movement, face ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911667

269. Video-based Face Recognition via Joint Sparse Representation
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7906
Topic: Biometrics
Published: 1/2/2013
Authors: P Jonathon Phillips, Vishal M Patel, Yi-Chen Chen, Rama Chellappa
Abstract: In video-based face recognition, a key challenge is in exploiting the extra information available in a video. In addition, different video sequences of the same subject may contain variations in resolution, illumination, pose, and facial expressions. ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=912729

270. Video-based Face Recognition via Joint Sparse Representation
Topic: Biometrics
Published: 4/26/2013
Authors: P Jonathon Phillips, Yi-Chen Chen, Vishal M Patel, Sumit Shekar, Rama Chellappa
Abstract: In video-based face recognition, a key challenge is in exploiting the extra information available in a video; e.g., face, body, and motion identity cues. In addition, different video sequences of the same subject may contain variations in resolution, ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=913142



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