The electroencephalogram (EEG) has been proven to be a promising technique for personal
identification and verification. Recently, the aperiodic component of the power spectrum was …

In recent years, biometrics such as fingerprints and iris scans has been used in
authentication. However, conventional biometrics is vulnerable to identity theft, especially in …

In unimodal biometric systems, there are several limitations like, non-universality, noisy data
and other security risks. To overcome these, multimodal biometric systems are increasingly …

Robust, secure authentication is essential in online interactions. Current best practice is to
combine factors communicated using different channels; however, in some contexts multi …

La biometría ha tenido una rápida expansión como tecnología, siendo cada vez más
accesible para el público general, prestando utilidad a los gobiernos ya la sociedad en el …

This study presents a root cause analysis of biometric vulnerabilities and provides a
comprehensive typology of metadata in biometric adaptation. Although they are more …

In today's modern world, reliable automatic personal recognition is a crucial area of
discussion, primarily because of the increased security risks. A large number of systems first …

This paper proposes a new local image descriptor for Finger Knuckle Print Recognition
Systems (FKPRS), named Log-Gabor Binarized Statistical Image Features descriptor …

The multi-biometric systems (MBS) are being rapidly deployed to address the security issues
of uni-biometric systems. However, the security of the MBS still remains an open issue …

Данная работа посвящена исследованию особенностей динамической (непрерывной)
идентификации пользователей на основе показателей клавиатурного почерка (КП) …