Liveness Detection

Liveness detection is any technique used to detect a spoof attempt by determining whether the source of a biometric sample is a live human being or a fake representation. Types of indicators mainly used

  • Motion
  • Texture
  • Life sign

The general public has immense need for security measures against spoof attack. In order to guard against such spoofing, a secure system needs liveness detection. The primary reason for this is to prevent impostors from accessing protected resources. General techniques for security purposes are passwords or ID cards mechanisms, but these techniques of identity can easily be lost, hampered or may be stolen thereby undermine the intended security.
A biometric system can offer more security for a security system. Liveness is the act of differentiating the feature space into live and non-living. With the help of liveness detection, the performance of a biometric system will improve. Some of the most interesting liveness detection methods presented by us are

Action Liveness

User is asked to perform required motions including 4 motions like (Open mouth, Blink, Turn head left and up) then detects faces and transmits to back-end algorithm to identify whether it’s a real person or a fraudster.

Silent Liveness

User is not required to do any actions, SDK automatically detects faces and transmits to back-end algorithm to identify whether it’s a real person or a fraudster.