@article{28b780c82a9e49ce98d64453306cfa7a,
title = "The BeiHang Keystroke Dynamics Systems, Databases and baselines",
abstract = "Keystroke dynamics is an important biometric branch for person authentication. Based upon keystroke dynamics, this paper designs an embedded password protection device, develops an online system, collects two public databases for promoting the research on keystroke authentication, exploits transformation methods to characterize keystroke dynamics, and provides benchmark results of several popular classification algorithms, one-class support vector machine, Gaussian classifier, and nearest neighbor classifier.",
keywords = "Embedded system design, Gabor feature, Keystroke dynamics, Random projection, SVM",
author = "Juan Liu and Baochang Zhang and Haoran Zeng and Linlin Shen and Jianzhuang Liu and Jason Zhao",
note = "Funding Information: The work was supported in part by the Natural Science Foundation of China , under Contracts 60903065 , 61039003 and 61272052 , in part by the Fundamental Research Funds for the Central Universities , and by the Program for New Century Excellent Talents University of Ministry of Education of China . Funding Information: Baochang Zhang received the B.S., M.S., and Ph.D. degrees in computer science from the Harbin Institute of Technology, Harbin, China, in 1999, 2001, and 2006, respectively. From 2006 to 2008, he was a Research Fellow with the Chinese University of Hong Kong, Hong Kong, and with Griffith University, Brisbane, Australia. Currently, he is an associate professor with the Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, BeiHang University, Beijing, China. He was supported by the Program for New Century Excellent Talents in University of Ministry of Education of China. His current research interests include pattern recognition, machine learning, face recognition, and wavelets. ",
year = "2014",
month = nov,
day = "20",
doi = "10.1016/j.neucom.2014.04.044",
language = "English",
volume = "144",
pages = "271--281",
journal = "Neurocomputing",
issn = "0925-2312",
publisher = "Elsevier B.V.",
}