Sotamd (H2020)

With the widespread deployment of biometric recognition systems, in particular the EU Smart Borders initiative, the interest in attacking these systems is increasing. In the recent past and as one of the main results of the EU funded research project FIDELITY, the vulnerabilities of biometric systems and automated border control applications to socalled morphed face image attacks have been unveiled to some governments within the EU. In such attacks, biometric samples of multiple subjects are merged, in order to allow an unlawful but successful verification of all contributing subjects against the created artificial identity. This is a rather young area of research and only a few European research institutions have developed detection mechanisms for such attacks. These labs are co-applicants of this project. The objective of the SOTAMD project is to identify the state-of-the-art of morphed face image detection mechanisms by collecting in a distributed effort a database of morphed face images, for which image quality according to ICAO and EU Regulation 2252/2004 is ensured. Furthermore the project will evaluate the existing morphed face image detection mechanisms based on a common established benchmark protocol and morphed face image detection metrics. The project will focus on the scenario of differential morphing detection, where a bona fide facial image (captured in a trusted environment) is compared against the target of investigation (e.g. the printed image in the passport application process) in a signal to signal analysis mode. The beneficiaries of the project results will be all European members states with their respective agencies that are in charge of passport application processes (facial enrolment) and/or of the border control processes (facial verification). Depending on the level of accuracy of the evaluated differential detection mechanisms, a short term deployment of identified mechanism can be recommended to the member states.