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Search Publications by: P. Jonathon Phillips (Fed)

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Displaying 226 - 242 of 242

Introduction to Evaluating Biometric Systems

February 21, 2000
Author(s)
P J. Phillips, Alvin F. Martin, Charles L. Wilson, Mark A. Przybocki
Biometric technology has the potential to provide secure access using user characteristics, biometric signatures, that cannot be lost, stolen, or easily duplicated. However, the actual performance of many existing systems is unknown. Potential users of

An Introduction to Evaluating Biometric Systems

February 1, 2000
Author(s)
P J. Phillips, Alvin F. Martin, Charles L. Wilson, Mark A. Przybocki
How and where biometric systems are deployed will depend on their performance. Knowing what to ask and how to decipher the answers can help you evaluate the performance of these emerging technologies. On the basis of media hype alone, you might conclude

On Performance Statistics for Biometric Systems

October 5, 1999
Author(s)
P J. Phillips
The major contribution of this paper is a duality between the identification and verification evaluation protocols. The duality (1) gives a mapping between identification and verification scores and (2) bounds identification and verification scores in

Assessing Algorithms as Computational Models for Human Face Recognition

June 1, 1999
Author(s)
P J. Phillips, Alice J. O'Toole, Y Cheng, B Ross, H A. Wild
We assessed the qualitative accord between several automatic face recognition algorithms and human perceivers. By comparing model- and human-generated measures of the similarity between pairs of faces, we were able to evaluate the suitability of the

Support Vector Machines Applied to Face Recognition

November 1, 1998
Author(s)
P J. Phillips
Face recognition is a K class problem, where K is the number of known individuals; and support vector machines (SVMs) are a binary classification method. By reformulating the face recognition problem and re-interpreting the output of the SVM classifier, we

The FERET Verification Testing Protocol for Face Recognition Algorithms

October 1, 1998
Author(s)
S A. Rizvi, P. Jonathon Phillips, H Moon
Two critical performance characterizations of biometric algorithms, including face recogntion, are identification and verification. In face recognition, FERET is the de facto standard evaluation methodology. Identification performance of face recognition

Matching Pursuit Filters Applied to Face Identification

August 1, 1998
Author(s)
P J. Phillips
We present a face identification algorithm that automatically processes an unknown image by locating and identifying the face. The heart of the algorithm is the use of pursuits filters. A matching pursuit filter is an adapted wavelet expansion, where the

Issues in Evaluating Face Recognition Algorithms

June 22, 1998
Author(s)
P J. Phillips, R. McCabe, R Chellappa
Biometric-based identification and verification systems are poised to become a key technology, with applications including controlling access to buildings and computers, reducing fraudulent transactions in electronic commerce, and discouraging illegal