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Information Technology

Biometrics

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Displaying 126 - 150 of 412

Design and Testing of a Mobile Touchscreen Interface for Multi-Modal Biometric Capture

August 1, 2014
Author(s)
Kristen Greene, Ross J. Micheals, Kayee K. Hanaoka, Gregory P. Fiumara
In this report, we describe in detail the design and usability testing of a touchscreen interface for multimodal biometric capture, an application called WSABI, Web Services for the Acquisition of Biometric Information. The application code is publicly

Incorporating Biometric Software Development Kits into the Development Process

August 1, 2014
Author(s)
Karen Marshall, Ross J. Micheals, Kevin C. Mangold, Kayee K. Hanaoka
Biometric devices have emerged as pervasive and indispensable tools in facilitating security in many industries and governments worldwide�. The use of these devices has consistently increased and advanced. However, advancement of the methodologies used to

A Measurement Metric for Forensic Latent Fingerprint Preprocessing

July 31, 2014
Author(s)
Haiying Guan, Andrew Dienstfrey, Mary Frances Theofanos, Brian Stanton
Although fingerprint mark-up and identification are well-studied fields, forensic fingerprint image preprocessing is still a relatively new domain in need of further scientific study and development of guidance of best practice. Latent fingerprint image

IREX V: Guidance for Iris Image Collection

June 12, 2014
Author(s)
George W. Quinn, JAmes Matey, Elham Tabassi, Patrick J. Grother
This document provides guidance for the proper collection of iris images. Problems that occur during image acquisition can lead to poor quality samples. If the subject was looking down or blinking at the moment of capture, the image should be rejected and

Identifying Face Quality and Factor Measures for Video

May 20, 2014
Author(s)
Yooyoung Lee, P. Jonathon Phillips, James Filliben, J. R. Beveridge, Hao Zhang
This paper identifies important factors for face recognition algorithm performance in video. The goal of this study is to understand key factors that affect algorithm performance and to characterize the algorithm performance. We evaluate four factor

Human Engineering Design Criteria Standards Part 3: Interim Steps

April 1, 2014
Author(s)
Susanne M. Furman, Mary Theofanos, Hannah Wald
The Department of Homeland Security (DHS) requires general human systems integration (HSI) criteria for the design and development of human-machine interfaces for the technology, systems, equipment, and facilities employed by its user population. HSI is

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

On the Existence of Face Quality Measures

September 30, 2013
Author(s)
P J. Phillips, J. R. Beveridge, David Bolme, Bruce A. Draper, Geof H. Givens, Yui M. Lui, Su L. Cheng, Mohammad N. Teli, Hao Zhang
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). GPO
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