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Researchers have developed a new face recognition program that uses a new mathematical model that increases the accuracy of recognition even in cases of disguise, varying expressions, or poor image quality. The sparse representation algorithm can match an image to one in a database regardless of major facial occlusions or image corruption.
U. ILLINOIS (US)—An engineering team has developed a face recognition system that is remarkably accurate in realistic situations. Continue…
