Based on a comparison between different feature extraction algorithms, the use of a hybrid feature extraction technique can improve the accuracy of face recognition system. An efficient door access ...

In this paper, we propose multiple face recognition framework which is implemented on the embedded GPU system. The framework contains face detection based on convolutional neural network (CNN) with ...

Their algorithm makes tiny changes to images, which are barely visible to humans, but which make the faces in the images unrecognizable to current face recognition algorithms. The image on the ...

Facial recognition systems can be considered a controversial technology. On the one hand, this technology affects people’s privacy. On the other hand, it assists in preventing or detecting violence.

Despite growing opposition, the U.S. government is on track to increase its use of controversial facial recognition technology. The U.S. Government Accountability Office released a report on Aug ...

Face masks are breaking some of the most commonly used facial recognition algorithms, according to a new study from US government agency NIST (the National Institute of Standards and Technology).

How Accurate is Facial Recognition? In ideal conditions, facial recognition systems can have near-perfect accuracy. Verification algorithms used to match subjects to clear reference images (like a ...

Researchers have demonstrated that they can fool a modern face recognition system into seeing someone who isn’t there. A team from the cybersecurity firm McAfee set up the attack against a ...

Even more importantly, facial recognition is far from the only AI technology police are adopting. As I covered in Eye on AI last year, they’re also using voice analysis algorithms that claim to ...

The algorithm is able to find an obscured face after seeing an unobscured version of the same face only once at a 69.6 percent accuracy rate. If the machine has 10 images of the person’s face ...