The National Institute of Standards and Technology (NIST) has released results from its 2013 study on facial recognition algorithms, finding that accuracy is noticeably improving, according to a NIST press release. Compiled by biometrics researchers Patrick Grother and Mei Ngan, Performance of Face Identification Algorithms found that accuracy is up 30 percent since 2010. “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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