| Trying to remember dozens of personal identification numbers, passwords and credit card numbers may not be necessary for much longer, thanks to a UH professor and his team.
Ioannis Kakadiaris, Eckhard Pfeiffer professor of computer science, and his Computational Biomedicine Lab (CBL) developed face recognition software that uses a three-dimensional snapshot of a person’s face to create a unique identifier, a biometric.
It can be used for everything from gaining access to secure facilities to authorizing credit card purchases. The identification procedure is as effortless as taking a photograph.
“Accuracy is the name of the game in 3-D face recognition,” Kakadiaris said. “What makes our system so accurate is the strength of the variables that we use to describe a person’s face…Imagine a day when you simply sit in front of your computer and it recognizes who you are. Everything will be both easier and more secure, from online purchases to parental control of Web sites your children visit.”
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