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- Article name
- Biometric authentication by keyboard handwriting with force of pressing the keys, parameters of vibration and movements of the operator's hands
- Authors
- Sulavko A. E., , sulavich@mail.ru, Omsk State Technical University, Omsk, Russia
Lyzhin A. A., , lyzhin.artem@gmail.com, Omsk State Technical University, Omsk, Russia
Novikov M. D., , novikovmaximformal@gmail.com, Omsk State Technical University, Omsk, Russia
Sednev N. V., , nikitoz_tavr@mail.ru, Omsk State Technical University, Omsk, Russia
Hamzin A. R., , ownyaga@gmail.com, Omsk State Technical University, Omsk, Russia
Khabarov S. V., , stepankhabarov12@gmail.com, Omsk State Technical University, Omsk, Russia
- Keywords
- dynamics of the movements above the keyboard / pressure on the keys / hold time of the keys / pause between keystrokes / "wide" neural networks / wavelet analysis / amplitude spectrum / fast Fourier transform
- Year
- 2018 Issue 2 Pages 41 - 50
- Code EDN
- Code DOI
- Abstract
- The paper deals with the problem of biometric authentication using the keyboard handwriting. Traditional signs of the keyboard handwriting are of little informative and do not allow creating reliable authentication means. In this paper it is suggested to use additional features: the force of pressing the keys, the trajectory of the movement of hands over the keyboard and the parameters of its vibration when typing a passphrase. To register new features, a special keyboard has been developed. An estimation of the information content of these characteristics was carried out. It is proposed to use flexible hybrid neural networks, capable of rapid learning, for recognizing keyboard users. The reliability of network decisions is estimated. The achieved result exceeds those obtained earlier.
- Text
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