Publication detail

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

EASTWOOD, S. SHMERKO, V. YANUSHKEVICH, S. DRAHANSKÝ, M. GORODNICHY, D.

Original Title

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

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

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

Authors

EASTWOOD, S.; SHMERKO, V.; YANUSHKEVICH, S.; DRAHANSKÝ, M.; GORODNICHY, D.

Released

4. 4. 2016

ISBN

2168-2291

Periodical

IEEE Transactions on Human-Machine Systems

Year of study

46

Number

2

State

United States of America

Pages from

231

Pages to

242

Pages count

12

URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7103330

BibTex

@article{BUT119819,
  author="Shawn {Eastwood} and Vlad. {Shmerko} and Svetlana {Yanushkevich} and Martin {Drahanský} and Dmitry {Gorodnichy}",
  title="Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications",
  journal="IEEE Transactions on Human-Machine Systems",
  year="2016",
  volume="46",
  number="2",
  pages="231--242",
  doi="10.1109/THMS.2015.2412944",
  issn="2168-2291",
  url="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7103330"
}