Contactless fingerprint identification systems have been introduced to address the
deficiencies of contact-based fingerprint systems. A number of studies have been reported …

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 …

This work presents an automated contactless fingerprint recognition system for
smartphones. We provide a comprehensive description of the entire recognition pipeline …

Contactless fingerprint recognition is known for its high user comfort and low hygienic
concerns. However, contactless fingerprint recognition, especially in mobile and …

Over the past few decades, hand-based multimodal biometrics systems have achieved
significant attention because of their high security, accuracy, and anti-counterfeiting. Various …

The fingerprint is a widely adopted biometric trait in forensic and civil applications.
Fingerprint biometric systems have been investigated using contact prints and latent and …

Biometrics have been used to identify humans since the 19th century. Over time, these
biometrics became 3D. The main reason for this was the growing need for more features in …

Contactless fingerprint recognition is an emerging biometric technology and Presentation
Attack Detection (PAD) methods are crucial to preserve system security. Convolutional …

Brain signals have recently been proposed as a strong biometric due to their characteristics
such as, uniqueness, permanence, universality, and confidentiality. There are many factors …

In this work, we investigate whether contact-based fingerprint Presentation Attack Detection
(PAD) methods can generalize to the contactless domain. To this end, we selected a state-of …