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 Key Approaches to Integrating Facial Liveness

Below are the two key approaches to integrating facial liveness:

Active facial liveness is the most common choice deployed in today’s biometric

systems. With it, users are allotted a challenge like turning their head, blinking, or

smiling, and the system waits as they finish the task. At times, the system

randomizes these tasks to safeguard against a synthesized video of a user doing the

requested actions.

Passive liveness detection, which needs no additional work from the user. As a

substitute of requiring a precise step at each login (blinking, smiling, turning your

head), passive liveness is invisible to probable fraudsters and offers no way to study

the user’s actions to generate video replays for AI modeling attacks.


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