Unsuspecting subjects could be identified in mere seconds with a novel recognition system being developed by researchers at Oak Ridge National Laboratory. Unlike conventional technologies that look at a facial feature or the iris, ORNL's off-angle multi-modal biometric recognition system captures several features iris, face, ears, gait and soft biometrics at a distance. "By capturing multiple biometrics and combining them to achieve identification, we can overcome a failure to capture or recognize any one specific metric and thus offer superior performance," said Chris Boehnen, a researcher in the Measurement Science and Systems Engineering Division. The system also can be used as a screening tool at checkpoints to ensure that only authorized personnel enter a facility.
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