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Displaying 251 - 275 of 804

A Spectral Analytic Method for Fingerprint Image Sample Rate Estimation

February 25, 2014
Author(s)
John M. Libert, Shahram Orandi, John D. Grantham, Michael D. Garris
This study examines the use of the NIST Spectral Image Validation and Verification (SIVV) metric for the application of detecting the sample rate of a given fingerprint digital image. SIVV operates by reducing an input image to a 1-dimensional power

Compression Guidance for 1000 ppi Friction Ridge Imagery

February 24, 2014
Author(s)
Shahram Orandi, John M. Libert, John D. Grantham, Kenneth Ko, Stephen S. Wood, Frederick R. Byers, Bruce Bandini, Stephen G. Harvey, Michael D. Garris
This special publication provides guidance for compression of 1000 ppi friction ridge imagery as well as an interoperability pathway between legacy 500 ppi friction ridge imagery and new 1000 ppi friction ridge image data.

The neural representation of faces and bodies in motion and at rest

January 29, 2014
Author(s)
P J. Phillips, Alice O'Toole, Vaidehi Natu, Xiaobo An, Rice Allyson, James Ryland
The neural organization of person processing relies on brain regions functionally selective for faces or bodies, with a subset of these regions preferring moving stimuli. Although the response properties of the individual areas are well established, less

IREX IV: Part 2 Compression Profiles for Iris Image Compression

January 23, 2014
Author(s)
George Quinn, Patrick Grother, Mei Ngan, Nick Rymer
The IREX IV evaluation builds upon IREX III as a performance test of one-to-many iris recognition. This report is the second part of the IREX IV evaluation, which specifically, evaluates the ability of automated iris recognition algorithms to match heavily

The role of the face and body in person identification

December 12, 2013
Author(s)
P J. Phillips, Rice Allyson, Alice O'Toole
Information useful for identifying a person can be found both in the face and body. Previous studies indicate that when an entire person is visible, we rely strongly on the face for identification, even if the body can be useful. In this study, we measured

Introduction to Face Recognition and Evaluation of Algorithm Performance

November 14, 2013
Author(s)
P J. Phillips, J. R. Beveridge, Geof H. Givens, Bruce A. Draper, Yui M. Lui, David Bolme
The field of biometric face recognition blends methods from computer science, engineering and statistics, however statistical reasoning has been applied predominantly in the design of recognition algorithms. Here we broadly review face recognition from a

Unaware Person Recognition from the Body when Face Identification Fails

November 4, 2013
Author(s)
P J. Phillips, Rice Allyson, Vaidehi Natu, Xiabo An, Alice O'Toole
How do we recognize someone when the face fails? We show that people rely on the body, but are unaware of this. State-of-the-art face recognition algorithms were used to select images of people with no useful identity information in the face. Human

Effects of JPEG 2000 Lossy Image Compression on 1000 ppi Latent Fingerprint Casework

October 25, 2013
Author(s)
Shahram Orandi, John M. Libert, John D. Grantham, Frederick R. Byers, Lindsay M. Petersen, Michael D. Garris
This paper presents the findings of a study conducted to measure the impact of JPEG 2000 lossy compression on the comparison of 1000 ppi latent fingerprint imagery and 1000 ppi exemplar fingerprint imagery. Combinations of image pairs that vary by the
Displaying 251 - 275 of 804