Liveness detection systems are used to securely distinguish between live human beings and false biometric examples like masks, photos, or videos. It is commonly used for facial recognition, but can also detect other forms of biometric data. It is also used to prevent presentation attacks that fraudsters commonly use to spoof remote identity verification processes.

Common forms of presentation attacks

The fundamental principle behind liveness detection is to distinguish between genuine biometric traits and artificial representations. It does so by assessing the dynamic aspects of the biometric data, such as motion, temperature, and other physiological indicators that a living individual can present.