Facial recognition up to 30% more accurate now than in 2010

from biometricupdate.com: Facial recognition algorithms are up to 30 percent more accurate than they were in 2010, according to a recent NIST report. The report by Patrick Grother and Mei Ngan, Performance of Face Identification Algorithms, includes
results from algorithms submitted by 16 organizations. Performance was
defined by recognition accuracy, as well as the time the algorithms took
to match one photo against massive photo data sets. “We studied the one-to-many identification because it is the largest
market for face recognition technology,” Grother said. “These algorithms
are used around the world to detect duplicates in databases, fraudulent
applications for passports and driving licenses, in token-less access
control, surveillance, social media tagging, lookalike discovery and
criminal investigations.”

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