3D Face Morphing Attack Generation using Non-Rigid Registration

arXiv:2404.15765v1 Announce Type: new
Abstract: Face Recognition Systems (FRS) are widely used in commercial environments, such as e-commerce and e-banking, owing to their high accuracy in real-world conditions. However, these systems are vulnerable to facial morphing attacks, which are generated by blending face color images of different subjects. This paper presents a new method for generating 3D face morphs from two bona fide point clouds. The proposed method first selects bona fide point clouds with neutral expressions. The two input …

abstract accuracy arxiv attacks banking color commerce commercial cs.cv e-commerce environments face face recognition generated however images paper recognition registration systems type vulnerable world