Liveness Detection

Liveness Detection is a feature in biometric systems designed to ensure that the biometric input is from a live person and not a fake representation like a photograph, video, or mask. In the context of high-security financial applications, liveness detection prevents presentation attacks where an attacker attempts to spoof a user's biometric data.

Techniques for liveness detection include analyzing eye blinking, facial movement, or skin texture to verify that the subject is physically present. This adds a crucial layer of security to facial or iris recognition systems used for identity verification.

Without liveness detection, a static image of a user could potentially bypass the security mechanism. As biometric authentication becomes more common in trading apps, liveness detection is essential to maintain the integrity of the user authentication process.

It ensures that only the actual account holder can authorize sensitive actions. The technology is constantly evolving to stay ahead of sophisticated spoofing attempts.