Keystroke and Eye-Tracking Biometrics for User Identification

Abstract

Two sources of weak biometric data are investigated for the development of user identification models. A probabilistic neural network model is created from keystroke digraph features extracted from raw typing data. A second model is developed from scan-path features extracted from raw eye-tracking data. A third model is created from a combination of… (More)

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