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  4. NFIQ 2 NIST Fingerprint Image Quality
 
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2021
Report
Title

NFIQ 2 NIST Fingerprint Image Quality

Title Supplement
NIST Interagency/Internal Report (NISTIR)
Abstract
NIST Fingerprint Image Quality (NFIQ 2) is open source software that links image quality of optical and ink 500 pixel per inch fingerprints to operational recognition performance. This allows quality values to be tightly defined and then numerically calibrated, which in turn allows for the standardization needed to support a worldwide deployment of fingerprint sensors with universally interpretable image qualities. NFIQ 2 quality features are formally standardized as part of ISO/IEC 29794-4 and serve as the reference implementation of the standard.
Author(s)
Tabassi, Elham
Information Technology Laboratory
Olsen, Martin
Hochschule Darmstadt
Bausinger, Oliver
Federal Office for Information Security
Busch, Christoph
Hochschule Darmstadt
Figlarz, Andrew
Information Technology Laboratory
Fiumara, Gregory
Information Technology Laboratory
Henniger, Olaf  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Merkle, Johannes
secunet Security Networks AG
Ruhland, Timo
Bundeskriminalamt
Schiel, Christopher
Bundeskriminalamt
Schwaiger, Michael
secunet Security Networks AG
Publisher
NIST  
Publishing Place
Washington, D.C.
DOI
10.6028/NIST.IR.8382
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic- Smart City

  • Research Line- Human computer interaction (HCI)

  • Research Line- Machine Learning (ML)

  • Biometrics

  • Fingerprint recognition

  • Quality metrics

  • CRISP

  • ATHENE

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