Liveness Detection is one way to identify and confirm a person’s identity through their face. This facial recognition system can be used to identify a person through photos, videos or in person.
A technique to detect biometric characteristics of objects through a selfie and using several gestures liveness detection technology. Active liveness detection mechanisms based on user responses to a challenge, such as moving a certain way (changing the head position, nod, blink their eyes), following an object on the screen, or moving the camera. Thus the system can ensure whether the objects are humans alive, not representations or inanimate objects.
The latest liveness detection technology to identify and confirm a person’s identity so that the users do not need to make any movements during the process. Passive liveness detection includes shining varying lights at the user, capturing short videos, examining a selfie, and hardware-assisted approaches like depth-sensing. This allows for a more practical and faster verification process, but can effectively protect against various types of presentation or spoofing attacks.
