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Toward a Formal Common Information Model Ontology

Published

Author(s)

Stephen Quirolgico, P Assis, A Westerinen, M Baskey, E Stokes

Abstract

We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. Majority of prior studies of multimodal biometrics have been limited to relatively low accuracy non-COTS systems and populations of a few hundred users. Our work is the first to demonstrate that multimodal fingerprint and face biometric systems can achieve significant accuracy gains over either biometric alone, even when using highly accurate COTS systems on a relatively large-scale population. In addition to examining well-known multimodal methods, we introduce new methods of normalization and fusion that further improve the accuracy.
Proceedings Title
Lecture Notes in Computer Science, Vol 3307, PP 11-21
Conference Location
, USA

Citation

Quirolgico, S. , Assis, P. , Westerinen, A. , Baskey, M. and Stokes, E. (2004), Toward a Formal Common Information Model Ontology, Lecture Notes in Computer Science, Vol 3307, PP 11-21, , USA (Accessed May 20, 2024)

Issues

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Created October 31, 2004, Updated October 12, 2021