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Multimodal Biometric Authentication Methods: A COTS Approach

Published

Author(s)

Michael D. Indovina, Robert D. Snelick, Alan Mink

Abstract

We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometrics on a population approaching 1000 individuals. Prior studies of multimodal biometrics have been limited to relatively low accuracy non-COTS systems and populations approximately 10% of this size. 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 already highly accurate COTS systems on a relatively large-scale population. In addition to examining well-known multimodal methods, we introduce novel methods of fusion and normalization that improve accuracy still further through population analysis.
Proceedings Title
Proceedings MMUA 2003
Conference Dates
December 11-12, 2003
Conference Title
Workshop on Multimodal User Authentication

Keywords

authentication, fusion, multibiometrics, multimodal biometrics, normalizatio

Citation

Indovina, M. , Snelick, R. and Mink, A. (2003), Multimodal Biometric Authentication Methods: A COTS Approach, Proceedings MMUA 2003, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=151579 (Accessed June 23, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created December 1, 2003, Updated February 19, 2017