Face Recognition Solutions

Authentication systems are using facial recognition in all kinds of industries now. This can be seen on mobile devices that feature facial recognition software that is becoming more and more sophisticated by the day.

However, factors such as major advancements in digital and print image resolution as well as the ease of accessing images on social media can create security concerns. In the blink of an eye, fraudsters can successfully spoof facial recognition systems by exploiting security gaps in these biometric systems.

For face recognition systems to be fully accepted and acknowledged as a better authentication alternative, extensive tests have to take place. In the end, the system should be able to conclusively determine if the presented face is a real human.

It should also be able to detect a spoofing attempt when presented with an artificial representation of the face. Hence the need for an authentication system that can detect presentation attacks and detect liveness in a face-based biometric verification system.

What are Facial Liveness Detection Solutions?

The most important aspect of a formidable face recognition system is not just identifying if the face presented is the right one. It must also be able to recognize if the face is real and not just a representation. This is where detection of facial liveness can change things.

Face recognition with live-action detection uses biometric systems to analyze reactions and physical traits of a person to better determine if the face is from a living person who is present at the capture point.

Liveness detection using mobile camera

Importance of Face Recognition

It is important to have a passive face recognition system in place for stronger security infrastructure. Unlike active systems, passive face recognition systems are hard to trick and require no user participation to identify spoofing attempts.
Other benefits include:

Outsmarting fraudsters trying to trick face recognition systems by showing a video, a cutout photo with eye holes, or using a mask.
Since it works in the background, it does not alert fraudsters that security systems are on to them.
Reducing account takeovers and creation of fraudulent accounts.
Ease of integration by working as an independent function.

With fraudsters coming up with more ingenious ways to breach systems, it is crucial to deploy a facial recognition system that is active. The liveness feature thwarts all the current tricks that fraudsters have up their sleeves. If you use facial recognition for security on your devices, do not settle for anything less than the best.