Improving Security with Face Recognition Technology
This photo shows how to determine discriminative anatomical point pairings using Adaboost for 3-D face recognition. (University of Miami)
A number of U.S. states now use facial recognition technology when issuing drivers licenses. Similar methods are also used to grant access to buildings and to verify the identities of international travelers. Historically, obtaining accurate results with this type of technology has been a time intensive activity. Now, a researcher from the University of Miami College of Engineering and his collaborators have developed ways to make the technology more efficient while improving accuracy.
Mohamed Abdel-Mottaleb, professor and chair in the UM Department of Electrical and Computer Engineering has developed state-of-the-art systems capable of photographing an image of someone’s face and ear and comparing it against pre-stored images of the same person, with 95-100 percent accuracy.
Abdel-Mottaleb presented his findings at the 2009 IEEE International Conference on Image Processing in Cairo, Egypt on Saturday, November 7 - Tuesday, November 10. He describes his research as “satisfying, especially when you know that what you’re doing has real-world applications that will benefit people and enhance personal security.” (more…)
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