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Topic Area: Biometrics
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Displaying records 181 to 190 of 282 records.
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181. Nonparametric Statistical Data Analysis of Fingerprint Minutiae Exchange with Two-Finger Fusion
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7376
Topic: Biometrics
Published: 12/1/2006
Authors: Jin Chu Wu, Michael D Garris
Abstract: A nonparametric inferential statistical data analysis is presented. The utility of this method is demonstrated through analyzing results from minutiae exchange with two-finger fusion. High-accuracy vendors are selected and mean error rates are compar ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=50912

182. OCR Error Rate versus Rejection Rate for Isolated Handprint Characters
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 4990
Topic: Biometrics
Published: 12/10/1992
Authors: Jon C Geist, R. Allen Wilkinson
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906272

183. Ocular and Iris Recognition Baseline Algorithm
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7828
Topic: Biometrics
Published: 11/7/2011
Authors: Yooyoung Lee, Ross J Micheals, James J Filliben, P Jonathon Phillips, Hassan A. Sahibzada
Abstract: Due to its distinctiveness, the human eye is a popular biometricv feature used to identity a person with high accuracy. The Grand Challenge in biometrics is to have an effective algorithm for subject verification or identification under a broad ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909790

184. On the Existence of Face Quality Measures
Topic: Biometrics
Published: 9/30/2013
Authors: P Jonathon Phillips, J. R. Beveridge, David Bolme, Bruce A. Draper, G. H. Givens, Yui M. Lui, Su Lan Cheng, Mohammad Nayeem Teli, Hao Zhang
Abstract: We address the problem of the existence of quality measures for face recognition. We introduce the concept of an oracle quality measure, which is an optimal quality measure. We approximate oracle quality measures by greedy pruned ordering (GPO). ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914258

185. Optical Metrology for Industrialization of Optical Information Processing
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 6060
Topic: Biometrics
Published: 9/1/1997
Authors: D P Casasent, Charles L. Wilson
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900820

186. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=151481

187. 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
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900686

188. 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
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900624

189. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51264

190. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150264



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