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Fingervein Sample Image Quality Assessment using Natural Scene Statistics
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Datum
2022
Autor:innen
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Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Natural Scene Statistics as used in non-reference image quality measures are proposed
to be used as fingervein sample quality indicators. While NIQE and BRISQUE trained on common
images with usual distortions do not work well in the fingervein quality context, their variants being
trained on high and low quality fingervein sample data behave as expected from a biometric quality
estimator. Experiments involve two publicly available fingervein datasets and two distinct template
representations. The proposed (trained) quality measures are compared to a set of classical fingervein
quality metrics which underlines their highly promising behaviour.