Dealing with Subject Similarity in Differential Morphing Attack Detection

arXiv:2404.07667v1 Announce Type: new
Abstract: The advent of morphing attacks has posed significant security concerns for automated Face Recognition systems, raising the pressing need for robust and effective Morphing Attack Detection (MAD) methods able to effectively address this issue. In this paper, we focus on Differential MAD (D-MAD), where a trusted live capture, usually representing the criminal, is compared with the document image to classify it as morphed or bona fide. We show these approaches based on identity features are …

abstract arxiv attacks automated concerns cs.cr cs.cv detection differential face face recognition focus issue paper recognition robust security security concerns systems type