"Our goal is to improve accuracy and as a result improve the recognition process," says Gavrilova, a professor in the Faculty of Science. "We looked at it not just as a mathematical algorithm, but as an intelligent decision making process and the way a person will make a decision."A system like this is a very long way from seeing the light of day in an actual real-world deployment, but the concept strikes me as having huge potential for extremely complex high value deployments of the future such as airport ID.
The algorithm can learn new biometric patterns and associate data from different data sets, allowing system to combine information, such as fingerprint, voice, gait or facial features, instead of relying on a single set of measurements.
Friday, June 22, 2012
Artificial Intelligence & Multimodal Biometrics
Neural network mimics the brain for improved decision-making in biometric security systems (EurekAlert!)
