Logo des Repositoriums
 
Konferenzbeitrag

Towards improving the NIST fingerprint image quality (NFIQ) algorithm

Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Dateien

29.pdf (992.06 KB)

Zusatzinformation

Datum

2010

Autor:innen

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Quelle

BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures
Regular Research Papers

Verlag

Gesellschaft für Informatik e.V.

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.

Beschreibung

Merkle, Johannes; Schwaiger, Michael; Breitenstein, Marco; Bausinger, Oliver; Elwart, Kristina; Nuppeney, Markus (2010): Towards improving the NIST fingerprint image quality (NFIQ) algorithm. BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-258-1. pp. 29-44. Regular Research Papers. Darmstadt. 09.-10. September 2010

Schlagwörter

Zitierform

DOI

Tags

Sammlungen

P164 - BIOSIG 2010 - Proceedings of the 9th International Conference of the Biometrics Special Interest Group