Publication detail

Finger image quality assessment features - definitions and evaluation

OLSEN, M. ŠMIDA, V. BUSCH, C.

Original Title

Finger image quality assessment features - definitions and evaluation

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

OLSEN, M.; ŠMIDA, V.; BUSCH, C.

Released

1. 6. 2016

ISBN

2047-4938

Periodical

IET Biometrics

Year of study

5

Number

2

State

United Kingdom of Great Britain and Northern Ireland

Pages from

47

Pages to

64

Pages count

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"
}