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Single-frame facial liveness detection: How it works to reduce user friction and abandonment

Single-frame facial liveness detection: How it works to reduce user friction and abandonment
 

The ability to ascertain facial liveness from a single-image frame enables high-performance presentation attack detection without adding friction to the user experience.

A “passive” approach to liveness that is frictionless for the user eliminates the customer abandonments caused by the complications of an “active” approach. The result is fewer lost customers and more revenue.

This paper by ID R&D discusses how single-frame facial liveness detection works and presents a case study of its impact on the onboarding operations of a retail bank.

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