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The success of biometric applications is particularly dependent on the interoperability of biometric systems. Deploying these systems requires a comprehensive portfolio of biometric standards developed in support of interoperability and data interchange. A
One of the critical issues related to secured Information Technology (IT) systems and applications is the verification of the users identity. Biometrics provides for secure transactions, positive identification and augmentation to human judgment. For
In operational ROC (receiver operating characteristic) analysis of fingerprint-image matching algorithms on large datasets, the measures and their accuracies are investigated in the three scenarios: 1) the true accept rate (TAR) of genuine scores at a
P J. Phillips, Kevin W. Bowyer, Patrick J. Flynn, Sarah E. Baker
We present results of the first systematic study to investigate the degree to which template aging occurs for iris biometrics. Our experiments use an image data set with approximately four years of elapsed time between the earliest and most recent images
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips
Due to its distinctiveness, the human iris is a popular biometric feature used to identity a person with high accuracy. The Grand Challenge in iris recognition is to have an effective algorithm for subject verification or identification under a broad range
Biometric technologies establish or verify the personal identity of previously enrolled individuals based on biological or behavioural characteristics. Over the past several years the marketplace for biometric-based applications has widened significantly
Receiver operating characteristic (ROC) or Detection Error Trade-off (DET) curves are used to measure the performance of a biometric verification or identification system. To go beyond the ROC/DET and to enhance evaluation of a verification system we
Yui M. Lui, David Bolme, Bruce A. Draper, J. R. Beveridge, Geof H. Givens, P. Jonathon Phillips
This paper presents a meta-analysis for covariates that affect performance of face recognition algorithms. Our review of the literature found six covariates for which multiple studies reported effects on face recognition performance. These are: age of the
This paper investigates an issue with the Wavelet Scalar Quantization (WSQ) compression algorithm which causes severe degradation of the compressed image. The problem was first noticed when compressing the two-thumb images from live-scan identification
This report is an extension of the SlapSegII evaluation and will study the affect of slap fingerprint segmentation on matching accuracy. This study will compare matching accuracy of hand marked segmentation data with the automated segmentation algorithms
Alice J. O'Toole, P. Jonathon Phillips, Samuel Weimer, Dana A. Roark, Julianne Ayadd, Robert Barwick, Joseph Dunlop
The goal of this study was to evaluate human accuracy at identifying people from static and dynamic presentations of faces and bodies. Participants matched identity in pairs of videos depicting people in motion (walking or conversing) and in \best" static