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This story is from the category Artificial Intelligence
Date posted: 23/09/2008 Expert system software being developed at the University of Illinois can fairly accurately estimate a person's age. But, unlike age-guessers, who can view a person's body, the software works by examining only the person's face. "Age-estimation software is useful in applications where you don't need to specifically identify someone, such as a government employee, but would like to know their age," said Thomas S. Huang, the William L. Everitt Distinguished Professor of Electrical and Computer Engineering at the U. of I. For example, age-recognition algorithms could stop underage drinkers from entering bars, prevent minors from purchasing tobacco products from vending machines, and deny children access to adult Web sites, said Huang, who leads the Image Formation and Processing group at the university's Beckman Institute. Consisting of three modules ? face detection, discriminative manifold learning, and multiple linear regression ? the researchers' age-estimation software was trained on a database containing photos of 1,600 faces. The software can estimate ages from 1 year to 93 years. The software's accuracy ranges from about 50 percent when estimating ages to within 5 years, to more than 80 percent when estimating ages to within 10 years. The accuracy can be improved by additional training on larger databases of faces, Huang said. See the full Story via external site: www.physorg.com Most recent stories in this category (Artificial Intelligence): 03/03/2017: Application of Fuzzy Logic Teaches Drones to land on Moving Targets |
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