Personal Identification Numbers (PIN) and unlock patterns are two of the most often used
smartphone authentication mechanisms. Because PINs have just four or six characters, they …

Deep Learning algorithms (DL) have been applied in different domains such as computer
vision, image detection, robotics and speech processing, in most cases, DL demonstrated …

Among biometrics, iris and ocular recognition systems are the methods that recognize eye
features in an image. Such iris and ocular regions must have a certain image resolution to …

As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …

Human fingerprint features extraction is important for building a fingerprint classification
system. The extracted features must be unique and stable by remaining unchanged for the …

Touch behavior biometric has been widely studied for continuous authentication on mobile
devices, which provides a more secure authentication in an implicit process. However, the …

Authentication methods using personal identification number (PIN) and unlock patterns are
widely used in smartphone user authentication. However, these authentication methods are …

In the past decades, cognitive computing and communication densely used in lots of
networking areas. Current improvement in deep learning (DL) and big data analysis create …

The rise of the Internet and identity authentication systems has brought convenience to
peopleʼ s lives but has also introduced the potential risk of privacy leaks. Existing biometric …

Information systems in organizations traditionally require users to remember their secret pins
or (passwords), token, card number, or both to confirm their identities. However, the …