Keystroke dynamics and face image fusion as a method of identification accuracy improvement

Abstract

This paper concerns about keystroke dynamics and face image fusion. Different methods of database collecting are presented. The authors combined data from their own keystroke database and public AT&T Database of Faces. Keystroke Dynamics—Benchmark Data Set was used additionally. Two selected approaches have been merged and overall system reliability was tested. Initial outcome shows that the results when the algorithms work together give more robust identification accuracy.