作者: Ruben Tolosana , Ruben Vera-Rodriguez , Julian Fierrez , Javier Ortega-Garcia
关键词: Artificial intelligence 、 Biometrics 、 Speech recognition 、 Mobile device 、 Computer science 、 Password 、 Feature extraction 、 Signature (logic) 、 One-time password
摘要: This work evaluates the advantages and potential of incorporating touch biometrics to mobile one-time passwords (OTP). The new e-BioDigit database, which comprises online handwritten numerical digits from 0 9, has been acquired using finger as input a device. database is used in experiments reported this it publicly available research community. An analysis OTP scenario carried out regarding are most discriminative how robust system when increasing number them user password. Additionally, best features for each digit studied order enhance our proposed biometric system. Our approach achieves remarkable results with EERs ca. 5.0% skilled forgeries, outperforming other traditional verification traits such signature or graphical on similar scenarios.