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About Deep Learning Based Soft Biometric Identification of Age and Gender Using Greyc Keystroke Dynamics
This paper presents new soft biometrics information which can be extracted from keystroke dynamics patterns: the age and gender of the user when he/she types a given password or passphrase on a keyboard. The experiments were conducted on GREYC a web-based keystroke dynamics database of 118 users and our experiments on keystroke authentication exploits the features from discrete cosine transform (DCT) and 2D discrete wavelet transform (DWT) to characterize the keystroke dynamics.
Detailed Information
| Author: | ['selva muthu kumar T'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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