Classification Performance Improvement of Keystroke Data

In this work, the classification of keystroke data, a behavioral biometrics modality, is investigated. The users degrading the overall classification performance are identified by classifying two different databases composed of different number of individuals and passphrases. The improvement in performance is demonstrated by eliminating those users in the training phase of the classifier.