Facial Recognition Research Claims Near 100% 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. Read the full article. [Science Daily]

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. Read the full article. [Science Daily]

Suggested articles

Video: Privacy in the Age of Augmented Reality

Threatpost has spoken before with Carnegie Mellon University professor Alessandro Acquisti, one of the country’s leading authorities on the impact of social networks and emerging technologies on privacy. In a talk last week at Stanford University’s Center for Internet and Society titled “Privacy in the Age of Augmented Reality,” the professor who specializes in the economics of privacy, shares his research on how loose privacy protections affect how people conduct themselves on social networks.