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Information Technology

Biometrics

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  • Published Date
Displaying 151 - 175 of 412

Propagation of Facial Identities in a Social Network

September 30, 2013
Author(s)
P J. Phillips, Tao Wu, Rama Chellappa
We address the problem of automated face recognition on a social network using a loopy belief propagation frame- work. The proposed approach propagates the identities of faces in photos across social graphs. We characterize performance in terms of

SNoW: Understanding the Causes of Strong, Neutral, and Weak Face Impostor Pairs

September 27, 2013
Author(s)
P J. Phillips, Amanda Sgroi, Patrick J. Flynn, Kevin W. Bowyer
The Strong, Neutral, or Weak Face Impostor Pairs problem was generated to explore the causes and impact of impostor face pairs that span varying strengths of nonmatch. We develop three partitions within the impostor distribution of a given algorithm. The

Biometric Face Recognition: From Classical Statistics to Future Challenges

August 13, 2013
Author(s)
P J. Phillips, Geof H. Givens, J. R. Beveridge, Bruce A. Draper, David Bolme, Yui M. Lui
Automated face recognition has moved from science fiction to reality during the last twenty years. For high quality frontal face images, recognition errors have been cut in half every two years as more sophisticated algorithms are developed. Algorithms and

Initial ACT-R Extensions for User Modeling in the Mobile Touchscreen Domain

July 12, 2013
Author(s)
Kristen Greene, Franklin Tamborello
Advances in mobile touchscreen computing offer new opportunities to test traditional cognitive architectures and modeling tools in a novel task domain. ACT-Touch, an extension of the ACT-R 6 (Adaptive Control of Thought- Rational) cognitive architecture

Biometric Specifications for Personal Identity Verification

July 11, 2013
Author(s)
Patrick J. Grother, Wayne J. Salamon, Ramaswamy Chandramouli
Homeland Security Presidential Directive HSPD-12, Policy for a Common Identification Standard for Federal Employees and Contractors [HSPD-12], called for new standards to be adopted governing interoperable use of identity credentials to allow physical and

IREX IV: Part 1, Evaluation of Iris Identification Algorithms

July 11, 2013
Author(s)
George W. Quinn, Patrick J. Grother, Mei L. Ngan, James R. Matey
IREX IV aims to provide a fair and balanced scientific evaluation of the performance of automated iris recognition algorithms. IREX IV evaluated the performance of 66 identification (i.e. one-to-many matching) algorithms submitted by 12 companies and

IREX VI - Temporal Stability of Iris Recognition Accuracy

July 11, 2013
Author(s)
Patrick J. Grother, James R. Matey, Elham Tabassi, George W. Quinn, Michael Chumakov
Background: Stability is a required definitional property for a biometric to be useful. Quantitative statements of stability are operationally important as they dictate re-enrollment schedules e.g. of a face on a passport. Ophthalmologists consider the

The Challenge of Face Recognition From Digital Point-and-Shoot Cameras

June 25, 2013
Author(s)
P J. Phillips, J. R. Beveridge, David Bolme, Bruce A. Draper, Geof H. Givens, Yui M. Lui, Hao Zhang, W T. Scruggs, Kevin W. Bowyer, Patrick J. Flynn, Su L. Cheng
Face recognition is appearing in personal and commercial products at an astonishing rate, yet reliable face recognition remains challenging. Users expect a lot; they want to snap pictures and have their friends, family and acquaintances recognized. This

A New Metric for Latent Fingerprint Image Preprocessing

June 23, 2013
Author(s)
Mary Frances Theofanos, Andrew Dienstfrey, Brian Stanton, Haiying Guan
Although fingerprint recognition is a well-studied area, forensic fingerprint preprocessing based on computational theory is still a relatively new domain in need of further scientific study and development of standards of best practice. Latent fingerprint

Incorporating Biometric Software Development Kits into the Development Process

May 9, 2013
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

Video-based Face Recognition via Joint Sparse Representation

April 26, 2013
Author(s)
P J. Phillips, Yi-Chen Chen, Vishal M. Patel, Sumit Shekar, Rama Chellappa
In video-based face recognition, a key challenge is in exploiting the extra information available in a video; e.g., face, body, and motion identity cues. In addition, different video sequences of the same subject may contain variations in resolution

VASIR: An Open-Source Research Platform for Advanced Iris Recognition Technologies

April 22, 2013
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips
The performance of iris recognition systems is frequently affected by input image quality, which in turn is vulnerable to less-than-optimal conditions due to illuminations, environments, and subject characteristics (e.g., distance, movement, face/body

Camera Recognition

March 26, 2013
Author(s)
Michelle P. Steves, Brian C. Stanton, Mary F. Theofanos, Dana E. Chisnell, Hannah Wald
The Department of Homeland Security’s (DHS) United States Visitor and Immigrant Status Indicator Technology (US-VISIT) program is a biometrically-enhanced identification system primarily situated at border points of entry such as airports and seaports. In

Examination of Downsampling Strategies for Converting 1000 ppi Fingerprint Imagery to 500 ppi

January 22, 2013
Author(s)
Shahram Orandi, John M. Libert, John D. Grantham, Lepley Margaret, Bruce Bandini, Kenneth Ko, Lindsay M. Petersen, Stephen S. Wood, Stephen G. Harvey
Currently the bulk of fingerprint data in operational is captured, processed and stored at 500 ppi using the WSQ compressed digital format. With the transition to 1000 ppi, some systems will unavoidably contain an overlap between 500 ppi and 1000 ppi

Video-based Face Recognition via Joint Sparse Representation

January 2, 2013
Author(s)
P J. Phillips, Vishal M. Patel, Yi-Chen Chen, Rama Chellappa
In video-based face recognition, a key challenge is in exploiting the extra information available in a video. In addition, different video sequences of the same subject may contain variations in resolution, illumination, pose, and facial expressions. These
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