Detail publikačního výsledku

Finger image quality assessment features - definitions and evaluation

OLSEN, M.; ŠMIDA, V.; BUSCH, C.

Originální název

Finger image quality assessment features - definitions and evaluation

Anglický název

Finger image quality assessment features - definitions and evaluation

Druh

Článek WoS

Originální abstrakt

Finger image quality assessment is a crucial part of any system where a high biometric performance and user satisfaction is desired. Several algorithms measuring selected aspects of finger image quality have been proposed in the literature, yet only few of them have found their way into quality assessment algorithms used in practice. The authors provide comprehensive algorithm descriptions and make available implementations of adaptations of ten quality assessment algorithms from the literature which operates at the local or the global image level. They evaluate the performance on four datasets in terms of the capability in determining samples causing false non-matches and by their Spearman correlation with sample utility. The authors' evaluation shows that both the capability in rejecting samples causing false non-matches and the correlation between features varies depending on the dataset.

Anglický abstrakt

Finger image quality assessment is a crucial part of any system where a high biometric performance and user satisfaction is desired. Several algorithms measuring selected aspects of finger image quality have been proposed in the literature, yet only few of them have found their way into quality assessment algorithms used in practice. The authors provide comprehensive algorithm descriptions and make available implementations of adaptations of ten quality assessment algorithms from the literature which operates at the local or the global image level. They evaluate the performance on four datasets in terms of the capability in determining samples causing false non-matches and by their Spearman correlation with sample utility. The authors' evaluation shows that both the capability in rejecting samples causing false non-matches and the correlation between features varies depending on the dataset.

Klíčová slova

fingerprint identification; correlation methods; finger image quality assessment features; global image level; local image level; Spearman correlation

Klíčová slova v angličtině

fingerprint identification; correlation methods; finger image quality assessment features; global image level; local image level; Spearman correlation

Autoři

OLSEN, M.; ŠMIDA, V.; BUSCH, C.

Rok RIV

2020

Vydáno

01.06.2016

ISSN

2047-4938

Periodikum

IET Biometrics

Svazek

5

Číslo

2

Stát

Spojené království Velké Británie a Severního Irska

Strany od

47

Strany do

64

Strany počet

18

URL

https://ieeexplore.ieee.org/document/7475528

BibTex

@article{BUT163389,
  author="OLSEN, M. and ŠMIDA, V. and BUSCH, C.",
  title="Finger image quality assessment features - definitions and evaluation",
  journal="IET Biometrics",
  year="2016",
  volume="5",
  number="2",
  pages="47--64",
  doi="10.1049/iet-bmt.2014.0055",
  issn="2047-4938",
  url="https://ieeexplore.ieee.org/document/7475528"
}