Fingerprint presentation attack detection using laser speckle contrast imaging

  • 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 pre-processed 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.

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Metadaten
Author:Pascal Keilbach, Jascha Kolberg, Marta Gomez-Barrero, Christoph Busch, Hanno LangwegGND
DOI:https://doi.org/10.23919/BIOSIG.2018.8552931
ISBN:978-3-88579-676-3
ISBN:978-1-5386-6007-2
Parent Title (English):17th International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 Sept. 2018, Darmstadt, Germany
Publisher:IEEE
Document Type:Conference Proceeding
Language:English
Year of Publication:2018
Contributing Corporation:Gesellschaft für Informatik e.V., Bonn
Release Date:2020/02/20
First Page:49
Last Page:58
Note:
Volltextzugriff für Angehörige der Hochschule Konstanz via IEEE Xplore möglich
Open Access?:Nein
Licence (English):License LogoLizenzbedingungen IEEE