Facial Recognition Research Claims Near 100% Accuracy

Author: Donald Sears
minute read

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]

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