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2021
Conference Paper
Title

Fingerprints, forever young?

Abstract
In this study we analyzed longitudinal fingerprint data of 20 data subjects, acquired over a time span of up to 12 years. Using hierarchical linear modeling, we aimed to delineate mated similarity scores as a function of fingerprint quality and of the time interval between reference and probe images. Our results did not reveal effects on mated similarity scores caused by an increasing time interval across subjects, but rather individual effects on mated similarity scores. The results are in line with the general assumption that the fingerprint as a biometric characteristic and the features extracted from it do not change over the adult life span. However, it contradicts several related studies that reported noticeable template ageing effects. We discuss why different findings regarding ageing of references in fingerprint recognition systems were made.
Author(s)
Kessler, Roman
Hochschule Darmstadt
Henniger, Olaf  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Busch, Christoph
Hochschule Darmstadt
Mainwork
ICPR 2020, 25th International Conference on Pattern Recognition. Proceedings  
Project(s)
ATHENE
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
International Conference on Pattern Recognition (ICPR) 2021  
DOI
10.1109/ICPR48806.2021.9412948
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • CRISP

  • ATHENE

  • fingerprint recognition

  • feature extraction

  • Lead Topic: Smart City

  • Research Line: Human computer interaction (HCI)

  • biometrics

  • performance

  • quality

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