TY - CHAP U1 - Konferenzveröffentlichung A1 - Keilbach, Pascal A1 - Kolberg, Jascha A1 - Gomez-Barrero, Marta A1 - Busch, Christoph A1 - Langweg, Hanno T1 - Fingerprint presentation attack detection using laser speckle contrast imaging T2 - 17th International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 Sept. 2018, Darmstadt, Germany N2 - 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. Y1 - 2018 SN - 978-3-88579-676-3 SB - 978-3-88579-676-3 SN - 978-1-5386-6007-2 SB - 978-1-5386-6007-2 U6 - https://doi.org/10.23919/BIOSIG.2018.8552931 DO - https://doi.org/10.23919/BIOSIG.2018.8552931 N1 - Volltextzugriff für Angehörige der Hochschule Konstanz via IEEE Xplore möglich SP - 49 EP - 58 PB - IEEE ER -