A liveness test, liveness check or liveness detection is an automated means of checking whether a subject is a real person or part of a spoofing attack.
In a video liveness test, users are typically asked to look into a camera and to move, smile or blink, and features of their moving face may then be compared to that of a still image. Artificial intelligence is used to counter presentation attacks such as deepfakes or users wearing hyperrealistic masks, or video injection attacks.[1] The technique is used as part of know your customer checks in financial services[2] and during facial age estimation.[3]
Other forms of liveness test include checking for a pulse when using a fingerprint scanner[4] or checking that a person's voice is not a recording or artificially generated during speaker recognition.[5]
In the first half of 2024 iBeta Quality Assurance issued 18 new ISO/IEC 30107-3 Presentation Attack Detection certificates, raising the cumulative total to 85 since 2018.[6]
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