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Topic Area: Biometrics
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Displaying records 201 to 210 of 285 records.
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201. Personal Identity Verification (PIV) of Federal Employees and Contractors: Federal Information Processing Standard (FIPS) 201 Approved by the Secretary of Commerce
Series: ITL Bulletin
Topic: Biometrics
Published: 3/1/2005
Author: Shirley M. Radack
Abstract: Federal Information Processing Standard (FIPS) 201, Personal Identity Verification (PIV) of Federal Employees and Contractors, was approved by Carlos M. Guitierrez, the U.S. Secretary of Commerce, on February 25, 2005. The standard specifies a syste ...

202. Personal Identity Verification Card Management Report
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7284
Topic: Biometrics
Published: 1/6/2006
Authors: James F Dray Jr, David Corcoran
Abstract: NIST Special Publication 800-73 ( provides technical specifications for Personal Identity Verification (PIV) cards. However, it does not contain a complete card management specification for PIV systems. This Report provides an ove ...

203. Personal Identity Verification Demonstration Summary
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7337
Topic: Biometrics
Published: 8/31/2006
Authors: Erika McCallister, Hildegard Ferraiolo
Abstract: This paper provides a summary of the NIST Personal Identity Verification (PIV) Demonstration. The PIV Demonstration took place from May 15 to June 14, 2006. Forty-four companies voluntarily participated through a Cooperative Research and Development ...

204. Preliminary Face Recognition Grand Challenge Results
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7307
Topic: Biometrics
Published: 2/15/2006
Authors: P Jonathon Phillips, P J Flynn, W T. Scruggs, K W Bowyer, W Worek
Abstract: The goal of the Face Recognition Grand Challenge (FRGC) is to improve the performance of face recognition algorithms by an order of magnitude over the best results in Face Recognition Vendor Test (FRVT) 2002. The FRGC is designed to achieve this perf ...

205. Preliminary Studies on the Good, the Bad, and the Ugly Face Recognition Challenge Problem
Topic: Biometrics
Published: 11/26/2012
Authors: P Jonathon Phillips, J. R. Beveridge, David Bolme, Bruce A. Draper, Yui M. Lui
Abstract: Face recognition has made significant advances over the last twenty years. State-of-the-art algorithms push the performanceenvelope to near perfect recognition rates on many face databases. Recently, the Good, the Bad, and the Ugly (GBU) face challen ...

206. Privacy Operating Characteristic for Privacy Protection in Surveillance Applications
Topic: Biometrics
Published: 10/1/2005
Author: P Jonathon Phillips
Abstract: With the mass deploy of cameras, concern has risen about protecting a person's privacy as he goes about his daily life. Many of the cameras are installed to perform surveillance tasks that do not require the identity of a person. In the context of s ...

207. Propagation of Facial Identities in a Social Network
Topic: Biometrics
Published: 9/30/2013
Authors: P Jonathon Phillips, Tao Wu, Rama Chellappa
Abstract: We address the problem of automated face recognition on a social network using a loopy belief propagation frame- work. The proposed approach propagates the identities of faces in photos across social graphs. We characterize performance in terms of st ...

208. Public Key Infrastructure Invitational Workshop September 28, 1995, MITRE Corporation, McLean, Virginia
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 5788
Topic: Biometrics
Published: 11/1/1995
Author: William Edward Burr

209. Quality Summarization, Recommendations on Biometric Quality Summarization across the Application Domain
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7422
Topic: Biometrics
Published: 5/3/2007
Authors: Elham Tabassi, Patrick J Grother
Abstract: This document is a set of recommendations to users of biometric quality assessment algorithms. In particular it is concerned with aggregation of quality values across an enterprise appropriate to quantify estimated relative error rates.

210. Quantifying How Lighting and Focus Affect Face Recognition Performance
Topic: Biometrics
Published: 6/13/2010
Authors: J. R. Beveridge, David Bolme, Bruce A. Draper, G. H. Givens, Yui M. Lui, P Jonathon Phillips
Abstract: Recent studies show that face recognition in uncontrolled images remains a challenging problem, although the reasons why are less clear. Changes in illumination are one possible explanation, although algorithms developed since the advent of the P ...

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  • SP 250-XX: Calibration Services
  • SP 260-XX: Standard Reference Materials
  • SP 300-XX: Precision Measurement and Calibration
  • SP 400-XX: Semiconductor Measurement Technology
  • SP 480-XX: Law Enforcement Technology
  • SP 500-XX: Computer Systems Technology
  • SP 700-XX: Industrial Measurement Series
  • SP 800-XX: Computer Security Series
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