Face morphing attacks present an emerging threat to the face recognition
system. On top of that, printing and scanning the morphed images could obscure
the artifacts generated during the morphing process, which makes morphed image
detection even harder. In this work, we investigate the impact that printing
and scanning has on morphing attacks through a series of heterogeneous tests.
Our experiments show that we can increase the possibility of a false match by
up to 5.64% for DiM and 16.00% for StyleGAN2 when providing an image that has
been printed and scanned, regardless it is morphed or bona fide, to a Face
Recognition (FR) system. Likewise, using Frechet Inception Distance (FID)
metric, strictly print-scanned morph attacks performed on average 9.185%
stronger than non-print-scanned digital morphs.

通过一系列的异构测试，我们研究了印刷和扫描对于脸部变形攻击的影响。我们的实验结果显示，通过提供经过打印和扫描的图像（无论是变形的还是真实的）给人脸识别系统，可以将虚假匹配的可能性增加多达 5.64％（DiM）和 16.00％（StyleGAN2）。同样，使用 Frechet Inception Distance 指标，严格的印刷扫描变形攻击的强度平均比非印刷扫描数字变形攻击增强了 9.185％。