Score normalization applied to adaptive biometric systems
Score normalization applied to adaptive biometric systems is a scholarly work, published in 2017 in ''Computers & Security''. The main subjects of the publication include activity recognition, signature recognition, pattern recognition, data mining, biometrics, authentication, computer science, artificial intelligence, machine learning, and normalization. The authors hypothesize that score normalization procedures, which have been used to improve the recognition performance of biometric systems through a better refinement of their decision, can also improve the overall performance of adaptive systems.