KVC-onGoing: Keystroke Verification Challenge

Stragapede G. Vera-Rodriguez R. Tolosana R. Morales A. DeAndres-Tame I. Damer N. Fierrez J. Ortega-Garcia J. Acien A. Gonzalez N. Shadrikov A. Gordin D. Schmitt L. Wimmer D. Großmann C. Krieger J. Heinz F. Krestel R. Mayer C. Haberl S. Gschrey H. Yamagishi Y. Saha S. Rasnayaka S. Wickramanayake S. Sim T. Gutfeter W. Baran A. Krzysztoń M. Jaskóła P.
May 2025 Elsevier Ltd

Pattern Recognition
2025 #161

This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing)¹, on which researchers can easily benchmark their systems in a common platform using large-scale public databases, the Aalto University Keystroke databases, and a standard experimental protocol. The keystroke data consist of tweet-long sequences of variable transcript text from over 185,000 subjects, acquired through desktop and mobile keyboards simulating real-life conditions. The results on the evaluation set of KVC-onGoing have proved the high discriminative power of keystroke dynamics, reaching values as low as 3.33% of Equal Error Rate (EER) and 11.96% of False Non-Match Rate (FNMR) @1% False Match Rate (FMR) in the desktop scenario, and 3.61% of EER and 17.44% of FNMR @1% at FMR in the mobile scenario, significantly improving previous state-of-the-art results. Concerning demographic fairness, the analyzed scores reflect the subjects’ age and gender to various extents, not negligible in a few cases. The framework runs on CodaLab².

Behavioral biometrics , Biometric verification , Challenge , Keystroke dynamics , KVC-onGoing

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Biometrics and Data Pattern Analytics (BiDA) Lab, Universidad Autonoma de Madrid, Spain
Fraunhofer Institute for Computer Graphics Research IGD, Germany
Department of Computer Science, Technical University of Darmstadt, Germany
Laboratorio de Sistemas de Información Avanzados (LSIA), Universidad de Buenos Aires, Argentina
Verigram LLC, Singapore
Citix, Kazakhstan
Regensburg University Of Applied Sciences, Germany
Division of Radiology and Biomedical Engineering, The University of Tokyo, Japan
National University of Singapore, Singapore
University of Moratuwa, Sri Lanka
NASK – National Research Institute, Poland

Biometrics and Data Pattern Analytics (BiDA) Lab
Fraunhofer Institute for Computer Graphics Research IGD
Department of Computer Science
Laboratorio de Sistemas de Información Avanzados (LSIA)
Verigram LLC
Citix
Regensburg University Of Applied Sciences
Division of Radiology and Biomedical Engineering
National University of Singapore
University of Moratuwa
NASK – National Research Institute

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