METHOD AND APPARATUS USING BLENDED BIOMETRIC DATA
Inventors: Varun Chandrasekaran, Rahul Chatterjee, Xiaohan Fu, Jin-Yi Cai, Suman Banerjee
Researchers from UW Madison and UC San Diego have developed a biometric processing system for authentication. It combines multiple biometric signals using machine learning to map the different signals into a common argument space that may be processed by a similar fuzzy extractor. The different biometric signals may be given weight values related to their entropy allowing them to be blended to increase security and availability while minimizing intrusiveness.