NIST is widely considered the leading authority on facial recognition accuracy testing, and expected algorithms to improve on identifying people in face masks.

Facial-recognition algorithms from Los Angeles startup TrueFace are good enough that the US Air Force uses them to speed security checks at base entrances. But CEO Shaun Moore says he’s facing a ...

Coronavirus face masks can confuse facial recognition technology, government researchers announced Monday after a preliminary study on the issue. Facial recognition algorithms developed before the ...

The nation's top-level intelligence office, the Director of National Intelligence, wants to find "the most accurate unconstrained face recognition algorithm." A branch of the office, which ...

The detection phase of facial recognition starts with an algorithm that learns what a face is. Usually the creator of the algorithm does this by “training” it with photos of faces.

Face masks are already known to stop the spread of coronavirus. Apparently, they can also make it much harder for facial-recognition software to identify you, too.

The Intelligence Advanced Research Projects Activity hopes the organization’s new Face Recognition Prize Challenge will help them move the needle on biometric security.

Face recognition is rapidly proliferating as a way to identify people at airports and in high security scenarios—but it's far from foolproof.

Because of face coverings prompted by the coronavirus pandemic, companies are trying to ID people based on just their eyes and cheekbones.

A new study from the National Institute of Standards and Technology found facial recognition algorithms developed pre-pandemic struggle to identify masked faces.

Face recognition is becoming a hot technology, with many seeing it as exemplifying “the future” —kind of like nuclear power and flying cars were seen in 1954. That means everybody is trying to figure ...