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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 1/2021

21.06.2020 | Theoretical advances

Effectiveness of symmetric rejection for a secure and user convenient multistage biometric system

verfasst von: Md S. Hossain, Kiran S. Balagani, Vir V. Phoha

Erschienen in: Pattern Analysis and Applications | Ausgabe 1/2021

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Abstract

A multistage biometric verification system uses multiple biometrics and/or multiple biometric verifiers to generate a verification decision. The core of a multistage biometric verification system is reject option which allows a stage not to give a genuine/impostor decision when it is not confident enough. This paper studies the effectiveness of symmetric rejection for multistage biometric verification systems. The symmetric rejection method determines the reject region by symmetrically rejecting equal proportion of genuine and impostor scores. The applicability of a multistage biometric verification system depends on how secure and user convenient it is, which is measured by the performance–cost trade-off. This paper analyzes the performance–cost trade-off of symmetric rejection method by conducting extensive experiments. Experiments are performed on two biometric databases: (1) publicly available NIST database and (2) a keystroke database. In addition, the symmetric rejection method is empirically compared with two existing rejection methods: (1) sequential probability ratio test-based method, which uses score-fusion and (2) Marcialis et al.’s method, which does not use score fusion. Results demonstrate strong effect of symmetric rejection method on creating a secure and user convenient multistage biometric verification system.
Vorheriger Artikel High-dimensional cluster boundary detection using directed Markov tree
Nächster Artikel Ternary tree-based structural twin support tensor machine for clustering

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Metadaten
Titel
Effectiveness of symmetric rejection for a secure and user convenient multistage biometric system
verfasst von
Md S. Hossain
Kiran S. Balagani
Vir V. Phoha
Publikationsdatum
21.06.2020
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 1/2021
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-020-00899-0

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