Keystroke Dynamics for Biometrics Identification

  • Michał Choraś
  • Piotr Mroczkowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4432)

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.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Michał Choraś
    • 1
  • Piotr Mroczkowski
    • 2
  1. 1.Image Processing Group, Institute of Telecommunications, University of Technology & Life Sciences, S. Kaliskiego 7, 85-791 BydgoszczPoland
  2. 2.Hewlett Packard Polska, Global Delivery Poland Center, ul. Szturmowa 2a, University Business Center, WarsawPoland

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