Improving Fully Automated Landmark-based Face Morphing

A face morphing attack is an identity sharing scheme, where two individuals can use the same identity document. To do this, the attackers need to create a face image that resembles both of them using computer software. This image is called a morph and high quality morphs can fool both human officers and face recognition systems. High quality morphs are necessary for training and testing human officers, face recognition and morphing attack detection systems. However, manual morph creation is a tedious task which requires automation. In this paper, we present a fully automated morphing method which improves upon the state of the art by creating more realistic, ghost artifact-free morphs. Additionally, experiments with face recognition systems suggest that our morphs are equally or more likely to match with both attackers than current state of the art morphs with minor exceptions.