Konferenzbeitrag
Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging
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Datum
2018
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Verlag
Köllen Druck+Verlag GmbH
Zusammenfassung
With the increased deployment of biometric authentication systems, some security concerns
have also arisen. In particular, presentation attacks directed to the capture device pose a severe
threat. In order to prevent them, liveness features such as the blood flow can be utilised to develop
presentation attack detection (PAD) mechanisms. In this context, laser speckle contrast imaging
(LSCI) is a technology widely used in biomedical applications in order to visualise blood flow.
We therefore propose a fingerprint PAD method based on textural information extracted from preprocessed
LSCI images. Subsequently, a support vector machine is used for classification. In the
experiments conducted on a database comprising 32 different artefacts, the results show that the
proposed approach classifies correctly all bona fides. However, the LSCI technology experiences
difficulties with thin and transparent overlay attacks.