Facial recognition 20 times more accurate with advances in convolutional neural networks, NIST finds
Facial recognition algorithms can identify matches with error rates as low as 0.2 percent given good quality photos, 20 times…
Biometric Update regularly writes articles about the topic "Face Recognition Vendor Test (FRVT)." The following set of links is available to help you find biometrics news about "Face Recognition Vendor Test (FRVT)" and other relevant terms. More topics may be explored by reviewing our complete Biometrics Topics list.
Facial recognition algorithms can identify matches with error rates as low as 0.2 percent given good quality photos, 20 times…
Ever AI has achieved the highest accuracy score among U.S. companies participating in NIST’s Face Recognition Vendor Test (FRVT) 1:1…
YITU Technology has taken first place on the NIST facial recognition testing leaderboard for the second year in a row,…
IDEMIA has announced that its technology has won the top ranking as the most accurate 1:1 algorithm out of 33…
Chinese facial recognition firm Yitu Technology ranked first in four different categories of National Institute of Standards and Technology’s (NIST) Face…
NEC Corporation announced that its face recognition technology achieved the highest performance evaluation in the recent Face in Video Evaluation…
The U.S. National Institute of Standards and Technology (NIST) will launch a new, ongoing “Face Recognition Vendor Test”, beginning in…