Passive Liveness Detection

Passive liveness detection refers to a method or system that verifies the authenticity of a person’s presence or biological features without requiring their active participation. It involves the use of non-intrusive techniques to determine if an individual is live or inanimate during the biometric authentication process. This approach is designed to prevent fraudulent activities by detecting artificial replicas, such as photos, masks, or recordings, and ensuring that a genuine person is present for authentication.

Passive liveness detection methods often utilize advanced technologies like facial recognition, behavioral analysis, or multi-factor biometrics. These techniques examine dynamic attributes such as eye movements, blinking patterns, or facial micro-expressions that indicate a person is physically present and engaged in the authentication process. By analyzing these passive cues, passive liveness detection systems enhance the security and reliability of biometric authentication systems, providing an extra layer of protection against impersonation and fraudulent activities.

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