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Improving Security With Face Recognition Technology

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University of Miami researchers captured distinguishable facial landmarks using a combination of 2-D and 3-D facial images, plus 3-D models of the ear, to achieve an facial identification rate of 100 percent in the lab. Credit: University of Miami

University of Miami

November 17, 2009

University of Miami professor Mohamed Abdel-Mottaleb has developed a new way to improve the efficiency and accuracy of facial recognition technology. Abdel-Mottaleb and colleagues have developed a system that can use three-dimensional (3D) facial images, or combine two-dimensional images of the face with 3D models of the ear, to identify people by their unique facial features. 

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