AI more accurate than people at identifying biometric spoofs
Summary
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. Even when a group of 17 people voted on the images, resulting in a more accurate outcome than an individual person, their majority decisions were never better than the computer’s performance of the same task. Despite the strong performance of computers at spotting spoofs, fraud detection must not compromise the experience of genuine customers. Many facial liveness systems on the market are good at keeping fraudsters out, but in the process, a significant number of genuine people are also caught in the net. “Biometric technology used for identity verification has evolved in recent years to increase speed and accuracy, now significantly outperforming the human eye.
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