If a person (in this case, a NIST staff member) changes facial expression or wears and then removes eyeglasses, all six of the algorithms NIST evaluated give age estimates that vary around the person’s true age. With frames extracted from a cellphone video, algorithms give age estimates that remain above or below the subject's true age of 58, and that vary by a few years from frame to frame.
Credit: P. Grother, N. Hanacek/NIST
A new study from the National Institute of Standards and Technology (NIST) evaluates the performance of software that estimates a person’s age based on the physical characteristics evident in a photo of their face. Such age estimation and verification (AEV) software might be used as a gatekeeper for activities that have an age restriction, such as purchasing alcohol or accessing mature content online.
Age estimation has become an enabling technology in age assurance programs recently included in legislation and regulation both inside and outside the United States. These programs aim to permit only those in certain age groups to access social media chat rooms or to buy certain products both online and in the physical world and can be an important part of efforts to protect children online.
The new NIST study, Face Analysis Technology Evaluation: Age Estimation and Verification (NIST IR 8525), evaluates the performance of six ..
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