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Touchless Fingerprint Sample Quality: Prerequisites for the Applicability of NFIQ2.0
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Datum
2020
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Gesellschaft für Informatik e.V.
Zusammenfassung
The impact of fingerprint sample quality on biometric performance is undisputed. For
touch-based fingerprint data, the effectiveness of the NFIQ2.0 quality estimation method is well
documented in scientific literature. Due to the increasing use of touchless fingerprint recognition
systems a thorough investigation of the usefulness of the NFIQ2.0 for touchless fingerprint data is
of interest.
In this work, we investigate whether NFIQ2.0 quality scores are predictive of error rates associated
with the biometric performance of touchless fingerprint recognition. For this purpose, we propose
a touchless fingerprint preprocessing that favours NFIQ2.0 quality estimation which has been designed
for touch-based fingerprint data. Comparisons are made between NFIQ2.0 score distributions
obtained from touch-based and touchless fingerprint data of the publicly available FVC06, MCYT,
PolyU, and ISPFDv1 databases. Further, the predictive power regarding biometric performance is
evaluated in terms of Error-versus-Reject Curves (ERCs) using an open source fingerprint recognition
system. Under constrained capture conditions NFIQ2.0 is found to be an effective tool for
touchless fingerprint quality estimation if an adequate preprocessing is applied.