Logo des Repositoriums
 
Konferenzbeitrag

Evaluation of independence between multiple fingerprints for multibiometrics

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2014

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

Multibiometrics provides high recognition accuracy and population coverage by combining different biometric sources. However, some multibiometrics may obtain smaller-than-expected improvement of recognition accuracy if the combined biometric sources are dependent in terms of a false acceptance by mistakenly perceiving biometric features from two different persons as being from the same person. In this paper, we evaluated whether or not features of multiple fingerprints from a same person are statistically independent. By evaluating false acceptance error using matching scores obtained by Verifinger SDK, we confirmed that these features were dependent and the FAR obtained by a fusion of the multiple fingerprints could be affected by the dependence.

Beschreibung

Yamada, Shigefumi; Shinzaki, Takashi (2014): Evaluation of independence between multiple fingerprints for multibiometrics. BIOSIG 2014. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-624-4. pp. 227-234. Darmstadt. 10.-12. September 2014

Schlagwörter

Zitierform

DOI

Tags