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An empirical study on verifier order selection in serial fusion based multi-biometric verification system
Resource type
Authors/contributors
- Hossain, Md Shafaeat (Author)
- Rahman, Khandaker Abir (Author)
- Benferhat, Salem (Editor)
- Tabia, Karim (Editor)
- Ali, Moonis (Editor)
Title
An empirical study on verifier order selection in serial fusion based multi-biometric verification system
Abstract
Selecting the order of verifier in a serial fusion based multi-biometric system is a crucial parameter to fix because of its high impact on verification errors. A wrong choice of verifier order might lead to tremendous user inconvenience by denying a large number of genuine users and might cause severe security breach by accepting impostors frequently. Unfortunately, this design issue has been poorly investigated in multi-biometric literature. In this paper, we address this design issue by performing experiments using three different serial fusion based multi-biometric verification schemes, in particular (1) symmetric scheme, (2) SPRT-based scheme, and (3) Marcialis et al.’s scheme. We experimented on publicly available NIST-BSSR1 multi-modal database. We tested 24 orders—all possible orders originated from four individual verifiers—on a four-stage biometric verification system. Our experimental results show that the verifier order “best-to-worst”, where the best performing individual verifier is placed in the first stage, the next best performing individual verifier is placed in the second stage, and so on, is the top performing order for all three serial fusion schemes mentioned above.
Proceedings Title
Advances in Artificial Intelligence: From Theory to Practice
Publisher
Springer International Publishing
Place
Cham
Date
2017
Volume
10350
Pages
249-258
Series
Lecture Notes in Computer Science
ISBN
978-3-319-60042-0
Citation Key
hossainEmpiricalStudyVerifier2017
Language
English
Library Catalog
Springer Link
Extra
2 citations (Crossref) [2023-10-31]
Citation Key Alias: hossainEmpiricalStudyVerifier2017, pop00277
tex.type: [object Object]
DOI: 10.1007/978-3-319-60042-0_29
Citation
Hossain, M. S., & Rahman, K. A. (2017). An empirical study on verifier order selection in serial fusion based multi-biometric verification system. In S. Benferhat, K. Tabia, & M. Ali (Eds.), Advances in Artificial Intelligence: From Theory to Practice (Vol. 10350, pp. 249–258). Springer International Publishing. https://doi.org/10.1007/978-3-319-60042-0_29
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