Publication Details

Antispoofing and multispectral (optical) methods in hand-based biometrics

HEIDARI, M.; GOLDMANN, T.; DVOŘÁK, M.; DRAHANSKÝ, M. Antispoofing and multispectral (optical) methods in hand-based biometrics. In Hand-Based Biometrics: Methods and Technology. IET Book Series on Advances in Biometrics. London: The Institution of Engineering and Technology, 2018. p. 337-365. ISBN: 978-1-78561-224-4.
Czech title
Multispektrální (optické) a protipodvodné metody biometrie ruky
Type
book chapter
Language
English
Authors
Heidari Mona, Ph.D. (FIT)
Goldmann Tomáš, Ing., Ph.D. (DITS)
Dvořák Michal, Ing., Ph.D.
Drahanský Martin, prof. Ing., Ph.D.
Keywords

hand, spoofing, antispoofing, liveness detection

Abstract

Vulnerability of any given security system is an important aspect that needs to be carefully analyzed during design phase. When dealing with biometric systems, one important source of such vulnerability that needs to be especially considered is its tendency to deception by spoofs. Since a high enough quality spoof can become indistinguishable from the original biometric characteristic by human eye, we may need additional methods of spoof recognition. We investigate several approaches used as an antispoofing method, with emphasis on approaches utilizing the liveness detection (antispoofing).

Published
2018
Pages
337–365
Book
Hand-Based Biometrics: Methods and Technology
Series
IET Book Series on Advances in Biometrics
ISBN
978-1-78561-224-4
Publisher
The Institution of Engineering and Technology
Place
London
EID Scopus
2-s2.0-85118036027
BibTeX 
@inbook{BUT155027,
  author="Mona {Heidari} and Tomáš {Goldmann} and Michal {Dvořák} and Martin {Drahanský}",
  title="Antispoofing and multispectral (optical) methods in hand-based biometrics",
  booktitle="Hand-Based Biometrics: Methods and Technology",
  year="2018",
  publisher="The Institution of Engineering and Technology",
  address="London",
  series="IET Book Series on Advances in Biometrics",
  pages="337--365",
  isbn="978-1-78561-224-4",
  url="https://www.fit.vut.cz/research/publication/11698/"
}
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