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Topic Area: Biometrics
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Displaying records 191 to 200 of 278 records.
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191. 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 ...

192. Face Recognition Based on Frontal Views Generated from Non-Frontal Images
Topic: Biometrics
Published: 10/1/2005
Authors: V Blanz, Patrick J Grother, P Jonathon Phillips, T Vetter
Abstract: This paper presents a method for face recognition across large changes in viewpoint. Our method is based on a Morphable Model of 3D faces that represents face-specific information extracted from a dataset of 3D scans. For non-frontal face recogniti ...

193. Overview of the Face Recognition Grand Challenge
Topic: Biometrics
Published: 10/1/2005
Authors: P Jonathon Phillips, P J Flynn, W T. Scruggs, K W Bowyer, J S Chang, K Hoffman, J Marques, J Min, W Worek
Abstract: Over the last couple of years, face recognition researchers have been developing new techniques, such as recognition from three-dimensional and high resolution imagery. These developments are being fueled by advances in computer vision techniques, c ...

194. 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 ...

195. A Novel Approach to Fingerprint Image Quality
Topic: Biometrics
Published: 9/14/2005
Authors: Elham Tabassi, Charles L. Wilson
Abstract: We present a novel measure of fingerprint image quality, which can be used to estimate fingerprint match performance. This means presenting the matcher with good quality fingerprint images will result in high matcher performance, and vice versa, the ...

196. The Myth of the Goats: How Many People Have Fingerprints that are Hard to Match?
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7271
Topic: Biometrics
Published: 9/13/2005
Authors: R. A. Hicklin, Craig I Watson, Brad Ulery
Abstract: The proportion of people who have fingerprints that are particularly hard to match (also known as "Goats") is a topic of great interest in biometrics, especially for those involved in the design, development, or evaluation of fingerprint-based identi ...

197. Linear and Generalized Linear Models for Analyzing Face Recognition Performance
Report Number: 7312
Topic: Biometrics
Published: 8/17/2005
Authors: J. R. Beveridge, G. H. Givens, Bruce A. Draper, P Jonathon Phillips
Abstract: This paper introduces linear models (LM), generalized linear models (GLM), and generalized linear mixed models (GLMM) for analyzing performance of face recognition algorithms. These three statistical techniques are applied to analyzing the affect of ...

198. Two Finger Matching with Vendor SDK Matchers
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7249
Topic: Biometrics
Published: 7/1/2005
Authors: Craig I Watson, Charles L. Wilson, Michael D Indovina, Brian J Cochran
Abstract: This report is an extension of the NIST Studies of one-to-one Fingerprint Matching with Vendor SDK Matchers which evaluated the accuracy of SDK (Software Development Kit) based on COTS (Commercial Off-The-Shelf) fingerprint matching systems for one-t ...

199. Nonparametric Analysis of Fingerprint Data
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7226
Topic: Biometrics
Published: 5/2/2005
Authors: Jin Chu Wu, Charles L. Wilson
Abstract: This paper demonstrates that, for large-scale tests, the match and non-match similarity scores have no specific underlying distribution function. The forms of these distribution functions require a nonparametric approach for the analysis of the fing ...

200. 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 ...

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