Facial Recognition Match with Passive Liveness
In the online world where private information and identity documents are stolen and published on the dark web for exploitation by fraudsters, how do you ensure that the person you want to do business with is who they claim to be?
One-to-one facial recognition match technology provides robust and user-friendly fraud prevention. But fraudsters are savvy, so a liveness test is key to ensure the genuine presence of a real person instead of a photo, video playback or even a mask.
In our passive liveness guide, Facial Recognition Match with Passive Liveness, we look at the benefits of passive liveness for beating fraud while keeping friction minimal for customers.
Download the guide to learn:
- Why a liveness test is critical
- How single frame passive liveness works
- The benefits of a single frame approach
- Why machine learning is key for effective detection
