Several issues related to the vulnerability of fingerprint recognition systems to attacks have
been highlighted in the biometrics literature. One such vulnerability involves the use of …

Nowadays, fingerprint biometrics is widely used in various applications, varying from
forensic investigations and migration control to access control as regards security sensitive …

User authentication systems (in short authentication systems) have wide utilization in our
daily life. Unfortunately, existing authentication systems are prone to various attacks while …

In recent years, fingerprint authentication systems have been extensively deployed in
various applications, including attendance systems, authentications on smartphones, mobile …

Nowadays, the number of people that utilize either digital applications or machines is
increasing exponentially. Therefore, trustworthy verification schemes are required to ensure …

This work inspects deep learning architectures and shallow learning techniques to
determine whether the image of a fingerprint is real (Live) or not (Fake). It is known that …

Spoof fingerprint detectors based on static features are built by learning a set of live and fake
fingerprint images. These learning-based spoof detectors cannot accurately classify new or …

Incremental learning enables the learner to accommodate new knowledge without retraining
the existing model. It is a challenging task that requires learning from new data and …

Biometric recognition is already a big player in how we interact with our phones and access
control systems. This is a result of its comfort of use, speed, and security. For the case of …

Fingerprint scanners usually suffer from spoofing attack of fake fingerprints. To address this
issue, a pore based liveness detection method has been proposed in this paper. The …