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P J. Phillips, Patrick J. Flynn, J. R. Beveridge, Kevin W. Bowyer, W T. Scruggs, Alice O'Toole, David Bolme, Bruce A. Draper, Geof H. Givens, Yui M. Lui, Hassan A. Sahibzada, Joseph A. Scallan, Samuel Weimer
The goal of the Multiple Biometrics Grand Challenge (MBGC) is to improve the performance of face and iris recognition technology from biometric samples acquired under unconstrained conditions. The MBGC is organized into three challenge problems. Each
This paper introduces the concept of biometric-completeness. A problem is biometric-complete if solving the problem is equivalent to solving a biometric recognition problem. The concept of biometric-completeness is modeled on the informal concept of
Many large scale identity management applications require storage and exchange of standardized minutiae templates. Minutia templates offer a more space efficient, less resource intensive, and more cost effective alternative to raw images. Recent minutiae
Yooyoung Lee, P. Jonathon Phillips, Ross J. Micheals
We have successfully implemented a Video-based Automated System for Iris Recognition (VASIR), evaluating its successful performance on the MBGC dataset. The proposed method facilitates the ultimate goal of automatically detecting an eye area, extracting
Performance of biometric recognition systems degrades substantially as quality of the input samples drops. Although only a small fraction of input data are of poor-quality, the bulk of recognition errors can be attributed to poor-quality samples. If
In current networks that use EAP and AAA for authenticated admission control, such as WiFi, WiMAX, and various 3G internetworking protocols, a malicious base station can advertise false information to prospective users in an effort to manipulate network
Common Biometric Exchange Formats Framework (CBEFF) provides a standardized set of definitions and procedures that support the interchange of biometric data in standard data structures called CBEFF biometric information records (BIRs). CBEFF permits
In most situations, identifying humans using faces is an effortless task for humans. Is this true for computers? This very question defines the field of automatic face recognition, one of the most active research areas in computer vision, pattern
In 2004, NIST conducted a fingerprint slap segmentation study [1] to assess the state-of-the-art in fingerprint segmentation technology. Given the development of new technology it has become necessary to reassess the current state-of-the-art of
In this paper, we introduce the Biometric Client Configuration Language, or BiCCL. BiCCL is a platform-independent, domain-specific language (DSL) that formally describes the biometric acquisition process. BiCCL uses high-level constructs---e.g., sensors
Mary F. Theofanos, Brian C. Stanton, Charles L. Sheppard, Ross J. Micheals, John M. Libert, Shahram Orandi
The requirements necessary for taking a successful face picture are arguably the least constrained of any biometric. The camera must be operational, and the subject must be illuminated sufficiently and facing the camera. Yet, a significant portion of the