Keystroke Dynamics for Biometrics Identification

Authors:
Michał Choraś;Piotr Mroczkowski
Affiliations:
Image Processing Group, Institute of Telecommunications, University of Technology & Life Sciences, S. Kaliskiego 7, 85-791 Bydgoszcz, Poland;Hewlett Packard Polska, Global Delivery Poland Center, ul. Szturmowa 2a, University Business Center, Warsaw, Poland
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

Personal identification has lately become a very important issue in the still evolving network society. Biometrics identification methods proved to be very efficient, more natural and easy for users than traditional methods of human identification. Hereby we discuss the idea of human identification based on keystroke dynamics. In the article we focus on our methods of feature extraction from the typing patterns. Moreover, we present satisfactory experimental results and possible applications of keystroke biometrics.