Roughly one in every two adults is already in a facial recognition system database, according to one recent study, but new research considers whether the technology can account for aging faces.
"We wanted to determine if state-of-the-art facial recognition systems could recognize the same face imaged multiple years apart, such as at age 20 and again at age 30," Anil Jain, a professor of computer science and engineering at Michigan State University, said in a news release. "This is the first study of automatic facial recognition using a statistical model and large longitudinal face database."