Publication Details

Spoofing methods in hand-based biometrics

DRAHANSKÝ, M.; KANICH, O.; DVOŘÁK, M. Spoofing 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. 367-398. ISBN: 978-1-78561-224-4.
Czech title
Metody oklamání v biometrikách zaměřených na ruce
Type
book chapter
Language
English
Authors
Drahanský Martin, prof. Ing., Ph.D.
Kanich Ondřej, Ing., Ph.D. (DITS)
Dvořák Michal, Ing., Ph.D.
Keywords

fingerprint spoofing, liveness detection technologies, hand spoofing

Abstract

Biased or damaged biometric samples could be rejected after revealing their poor quality, or may be enhanced, what leads to the situation that samples, which would be normally rejected, are accepted after the enhancement process. But this process could present also a risk, because the poor quality of a sample could be caused not only by the sensor technology or the environment, but also by using an artificial biometric attribute [imitation of a finger(print)]. Such risk is not limited just to the deceptional technique, but if biometric system is not able to recognize whether an acquired biometric sample originates from a genuine living user or an impostor, we would then scan an artificial fake and try to enhance its quality using an enhancement algorithm. 

Published
2018
Pages
367–398
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
DOI
EID Scopus
BibTeX
@inbook{BUT155022,
  author="Martin {Drahanský} and Ondřej {Kanich} and Michal {Dvořák}",
  title="Spoofing 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="367--398",
  doi="10.1049/PBSE008E\{_}ch15",
  isbn="978-1-78561-224-4",
  url="https://www.fit.vut.cz/research/publication/11694/"
}
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