Publication Details

Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications

EASTWOOD Shawn C., SHMERKO Vlad. P., YANUSHKEVICH Svetlana, DRAHANSKÝ Martin and GORODNICHY Dmitry. Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications. IEEE Transactions on Human-Machine Systems, vol. 46, no. 2, 2016, pp. 231-242. ISSN 2168-2291. Available from: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7103330
Czech title
Autentizační stroje umožňující biometrii: průzkum aplikací reálného světa s otevřenými množinami
Type
journal article
Language
english
Authors
Eastwood Shawn C. (UCalgary)
Shmerko Vlad. P. (UCalgary)
Yanushkevich Svetlana, Dr. (UCalgary)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
Gorodnichy Dmitry, Dr. (UOTTAWA)
URL
Keywords

authentication machine, face, iris, fingerprint, access control, biometrics

Abstract

This paper revisits the concept of an authentication machine (A-machine) that aims at identifying/verifying humans. Although A-machines in the closed-set application scenario are well understood and commonly used for access control utilizing human biometrics (face, iris, and fingerprints), open-set applications of A- machines have yet to be equally characterized. This paper presents an analysis and taxonomy of A-machines, trends, and challenges of open-set real-world applications. This paper makes the following contributions to the area of open-set A-machines: 1) a survey of applications; 2) new novel life cycle metrics for theoretical, predicted, and operational performance evaluation; 3) a new concept of evidence accumulation for risk assessment; 4) new criteria for the comparison of A-machines based on the notion of a supporting assistant; and 5) a new approach to border personnel training based on the A-machine training mode. It offers a technique for modeling A-machines using belief (Bayesian) networks and provides an example of this technique for biometric-based e-profiling.

Published
2016
Pages
231-242
Journal
IEEE Transactions on Human-Machine Systems, vol. 46, no. 2, ISSN 2168-2291
Publisher
Institute of Electrical and Electronics Engineers
DOI
10.1109/THMS.2015.2412944
UT WoS
000372841200007
EID Scopus
2-s2.0-84929017926
BibTeX 
@ARTICLE{FITPUB10812,
   author = "C. Shawn Eastwood and P. Vlad. Shmerko and Svetlana Yanushkevich and Martin Drahansk\'{y} and Dmitry Gorodnichy",
   title = "Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications",
   pages = "231--242",
   journal = "IEEE Transactions on Human-Machine Systems",
   volume = 46,
   number = 2,
   year = 2016,
   ISSN = "2168-2291",
   doi = "10.1109/THMS.2015.2412944",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10812"
}
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