TY - CONF A1 - Neubert, Tom A2 - Kraetzer, Christian A2 - Shi, Yun-Qing A2 - Dittmann, Jana A2 - Kim, Hyoung Joong T1 - Face Morphing Detection: An Approach Based on Image Degradation Analysis T2 - Konferenz: International Workshop on Digital Watermarking, 2017/ Titel: Digital Forensics and Watermarking N2 - In 2014 a novel identity theft scheme targeting specific application scenarios in face biometrics was introduced. In this scheme, a so called face morph melts two or more face images of different persons into one image, which is visually similar to multiple real world persons. Based on this non authentic image, it is possible to apply for an image based identity document to be issued by a corresponding authority. Thus, multiple persons can use such a document to pass image based person verification scenarios with a single document containing an artificially weakened template. Currently there is no reliable existing security mechanism to detect this attack. T3 - Lecture notes in computer science - 10431 Y1 - 2024 UR - https://opus4.kobv.de/opus4-fhbrb/frontdoor/index/index/docId/3078 UR - http://link.springer.com/10.1007/978-3-319-64185-0_8 SN - 978-3-319-64184-3 978-3-319-64185-0 SP - 93 EP - 106 PB - Springer International Publishing CY - Magdeburg, Germany ER -