Results published in the National Institute of Standards and Technology Interagency Report 8009, Performance of Face Identification Algorithms, show a 10 percent to 30 percent improvement from 2010 to ...

In 2019, NIST plans to release two more reports on facial recognition accuracy — one detailing the results from an additional 90 algorithms submitted by 49 developers, and another on “demographic ...

“With this new version our development team focused on face recognition in real-world, unconstrained environments,” said Dr. Justas Kranauskas, project lead for Neurotechnology. “We achieved a ...

The US Department of Homeland Security (DHS) is piloting facial recognition technologies that can see through face masks with a "promising" level of accuracy, meaning that travelers could end up ...

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 ...

With “80 percent accuracy and with no racial bias,” the paper, A Deep Neural Network Model to Predict Criminality Using Image Processing, claimed its algorithm could predict “if someone is a ...

How Facial Recognition Algorithms Work. Face detection occurs first. The algorithms typically cycle through various boxes, ... Most algorithms allow specification of a face-size range to help ...

Back in 2001, two computer scientists, Paul Viola and Michael Jones, triggered a revolution in the field of computer face detection. After years of stagnation, their breakthrough was an algorithm ...

IDEMIA has announced that its facial recognition algorithm - 1:N came top among 114 tested systems in NIST’s latest FRVT1. ... The test results reported facial recognition technology performance in ...

Despite massive improvements in deep-learning techniques, federal testing shows that most facial recognition algorithms perform poorly at identifying people besides white men.