Towards improving the NIST fingerprint image quality (NFIQ) algorithm

Zusammenfassung
The NIST Fingerprint Image Quality (NFIQ) algorithm has become a standard method to assess fingerprint image quality. However, in many applications a more accurate and reliable assessment is desirable. In this publication, we report on our efforts to optimize the NFIQ algorithm by a re-training of the underlying neural network based on a large fingerprint image database. Although we only achieved a marginal improvement, our work has revealed several areas for potential optimization.
  • Vollständige Referenz
  • BibTeX
Merkle, J., Schwaiger, M., Breitenstein, M., Bausinger, O., Elwart, K. & Nuppeney, M., (2010). Towards improving the NIST fingerprint image quality (NFIQ) algorithm. In: Brömme, A. & Busch, C. (Hrsg.), BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures. Bonn: Gesellschaft für Informatik e.V.. (S. 29-44).
@inproceedings{mci/Merkle2010,
author = {Merkle, Johannes AND Schwaiger, Michael AND Breitenstein, Marco AND Bausinger, Oliver AND Elwart, Kristina AND Nuppeney, Markus},
title = {Towards improving the NIST fingerprint image quality (NFIQ) algorithm},
booktitle = {BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures},
year = {2010},
editor = {Brömme, Arslan AND Busch, Christoph} ,
pages = { 29-44 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
DateienGroesseFormatAnzeige
29.pdf992.0Kb PDF Öffnen

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken

Mehr Information

ISBN: 978-3-88579-258-1
ISSN: 1617-5468
Datum: 2010
Sprache: en (en)
Typ: Text/Conference Paper
Sammlungen

Zur Langanzeige