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Information Technology

Biometrics

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Displaying 351 - 375 of 804

Cross-View Action Recognition via a Transferable Dictionary Pair

September 12, 2012
Author(s)
P J. Phillips, Jingjing Zheng, Zhuolin Jiang, Rama Chellappa
Discriminative appearance features are effective for recognizing actions in a fixed view, but generalize poorly to changes in viewpoint. We present a method for view- invariant action recognition based on sparse representations using a transferable dictio-

An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery

August 6, 2012
Author(s)
Shahram Orandi, John M. Libert, John D. Grantham, Kenneth Ko, Stephen S. Wood, Jin Chu Wu, Lindsay M. Petersen, Bruce Bandini
This paper presents the findings of a study initially conducted to measure the operational impact of JPEG 2000 lossy compression on 1000 ppi fingerprint imagery at various levels of compression, but later expanded to include lossless compression. Lossless

IREX III Supplement 1: Failure Analysis

April 18, 2012
Author(s)
George W. Quinn, Patrick J. Grother
Iris recognition has the potential to be extremely accurate, but it is highly dependent on the quality of the input data. Iris occlusion, off-axis gaze, blurred images, and iris rotation are common problems that can make recognizing individuals more

IREX III - Performance of Iris Identification Algorithms

April 3, 2012
Author(s)
Patrick J. Grother, George W. Quinn, James R. Matey, Mei L. Ngan, Wayne J. Salamon, Gregory P. Fiumara, Craig I. Watson
Iris recognition has long been held as an accurate and fast biometric. In the first public evaluation of one-to-many iris identification technologies, this third activity in the Iris Exchange (IREX) program has measured the core algorithmic efficacy and

Criteria Towards Metrics for Benchmarking Template Protection Algorithms

March 30, 2012
Author(s)
Eddy Simoens, Bian Yang, Xuebing Zhou, Filipe Beato, Christoph Busch, Elaine M. Newton, Bart Preneel
Traditional criteria used in biometric performance evaluation do not cover all the performance aspects of biometric template protection (BTP) and the lack of well-defined metrics inhibits the proper evaluation of such methods. Previous work in the

Performance of Face Recognition Algorithms on Compressed Images

December 1, 2011
Author(s)
George W. Quinn, Patrick J. Grother
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 used to compare