Biometric access control through numerical keyboards based on keystroke dynamics

Authors:
Ricardo N. Rodrigues;Glauco F. G. Yared;Carlos R. do N. Costa;João B. T. Yabu-Uti;Fábio Violaro;Lee Luan Ling
Affiliations:
Laboratory of Pattern Recognition and Computer Networks, Department of Communications, School of Electrical and Computer Engineering, State University of Campinas, Campinas, SP, Brazil;Laboratory of Pattern Recognition and Computer Networks, Department of Communications, School of Electrical and Computer Engineering, State University of Campinas, Campinas, SP, Brazil;Laboratory of Pattern Recognition and Computer Networks, Department of Communications, School of Electrical and Computer Engineering, State University of Campinas, Campinas, SP, Brazil;Laboratory of Pattern Recognition and Computer Networks, Department of Communications, School of Electrical and Computer Engineering, State University of Campinas, Campinas, SP, Brazil;Laboratory of Pattern Recognition and Computer Networks, Department of Communications, School of Electrical and Computer Engineering, State University of Campinas, Campinas, SP, Brazil;Laboratory of Pattern Recognition and Computer Networks, Department of Communications, School of Electrical and Computer Engineering, State University of Campinas, Campinas, SP, Brazil
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

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Abstract

This paper presents a new approach for biometric authentication based on keystroke dynamics through numerical keyboards. The input signal is generated in real time when the user enters with target string. Five features were extracted from this input signal (ASCII key code and four keystroke latencies) and four experiments using samples for genuine and impostor users were performed using two pattern classification technics. The best results were achieved by the HMM (EER=3.6%). This new approach brings security improvements to the process of user authentication, as well as it allows to include biometric authentication in mobile devices, such as cell phones.