Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …

Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

We present a style-transfer based wrapper, called Universal Material Generator (UMG), to
improve the generalization performance of any fingerprint spoof (presentation attack) …

The area of fingermarks is a very active community fuelled with many research papers, case
studies and commentaries proposed during the reviewing period (July 2019–June 2022) …

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 …

Fingerprints have been widely used and accepted as an effective method of human
identification. This biometric tool aids in criminal investigations for personal identity for over …

We present a style-transfer based wrapper, called Universal Material Generator (UMG), to
improve the generalization performance of any fingerprint spoof detector against spoofs …

Fingerprints are one of the most copious evidence in a crime scene and, for this reason, they
are frequently used by law enforcement for identification of individuals. But fingerprints can …