Detecting Morphed Faces: Addressing the Challenge of Subject Similarity in Differential Morphing Attack Detection

A modular deep learning-based approach, named ACIdA, that effectively detects morphed faces by combining identity features and artifact analysis, addressing the challenge of high subject similarity in differential morphing attack detection scenarios.