AI can spot biometric spoofing attacks with ease - Help Net Security

Humans have far greater difficulty identifying images of biometric spoofing attacks compared to computers performing the same task, according to research released by ID R&D. The research report finds that computers are more adept than people at accurately and quickly determining whether a photo is of an actual, live person versus a presentation attack. Fraudsters attempt to imitate real customers during processes such as creating a new bank account or logging into an existing account. Liveness detection instantly validates whether a photo, taken in real time, is of a live person. The study tested humans and machines by presenting them with the most common spoofing techniques: printed photos, videos, digital images, and 2D or 3D masks.