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Topic Area: Biometrics
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Displaying records 181 to 190 of 275 records.
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181. Optical Path Difference Measurement Techniques for SLMs
Topic: Biometrics
Published: 3/1/2001
Authors: Patrick J Grother, D P Casasent
Abstract: A simple measurement method to obtain 2-D spatial point-by-point optical path difference (OPD) data for spatial light modulators (SLMs) is described. A simple imaging system is used that allows measurements of all SLM parameters on the same laborato ...

182. Optimization of Adaptive Resonance Theory Network With Boltzmann Machine
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 5176
Topic: Biometrics
Published: 4/1/1993
Authors: O M Omidvar, Charles L. Wilson

183. Optimization of Neural Network Topology and Information Content Using Boltzmann Methods
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 4766
Topic: Biometrics
Published: 2/1/1992
Authors: Charles L. Wilson, O M Omidvar

184. Overcoming Impediments to Cell Phone Forensics
Topic: Biometrics
Published: 1/16/2008
Authors: Wayne Jansen, Aurelien Michel Dominique Delaitre, Ludovic Moenner
Abstract: Cell phones are an emerging but rapidly growing area of computer forensics. While cell phones are becoming more like desktop computers functionally, their organization and operation are quite different in certain areas. For example, most cell phones ...

185. 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 ...

186. Overview of the Multiple Biometrics Grand Challenge
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7607
Topic: Biometrics
Published: 7/23/2009
Authors: P Jonathon Phillips, Patrick J. Flynn, J. R. Beveridge, Kevin W. Bowyer, W T. Scruggs, Alice O'Toole, David Bolme, B Draper, G. H. Givens, Yui M. Lui, Hassan A. Sahibzada, Joseph Andrew Scallan, Samuel Weimer
Abstract: The goal of the Multiple Biometrics Grand Challenge (MBGC) is to improve the performance of face and iris recognition technology from biometric samples acquired under unconstrained conditions. The MBGC is organized into three challenge problems. E ...

187. PCASYS- A Pattern-Level Classification Automation System for Fingerprints
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 5647
Topic: Biometrics
Published: 8/1/1995
Authors: Gerald T. Candela, Patrick J Grother, Craig I Watson, R A Wilkinson, Charles L. Wilson

188. PFTII Report Plain and Rolled Fingerprint Matching with Vendor Proprietary Template
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7821
Topic: Biometrics
Published: 10/26/2011
Authors: Su Lan Cheng, Gregory P Fiumara, Craig I Watson
Abstract: This report is an extension of the ,Two Finger Matching with Vendor SDK MatchesŠ [1] which evaluated the accuracy of matching two plain fingers (right index and left index) with vendor proprietary fingerprint templates. This study is based on NIST‰s ...

189. Performance of Biometric Quality Measures
Topic: Biometrics
Published: 4/16/2007
Authors: Patrick J Grother, Elham Tabassi
Abstract: 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 ab ...

190. Performance of Face Recognition Algorithms on Compressed Images
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7830
Topic: Biometrics
Published: 12/1/2011
Authors: George W Quinn, Patrick J Grother
Abstract: This report provides a comprehensive assessment of the ability of face recognition algorithms to compare compressed standard face images. Six well performing algorithms from the Multiple Biometric Evaluation (MBE) 2010 Still Face Track are us ...

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