The performance of functional connectivity metrics is investigated for electroencephalogram (EEG)-based biometrics using a support vector machine classifier. Experiments are conducted on a heterogeneous EEG dataset of 184 subjects formed by pooling three distinct datasets recorded with different systems and protocols. ...

In near-infrared finger vascular biometric images, several structures are visible, from which the exact origin is unknown. These include the appearance of the vessel projection, and the brightness of the two joints and the dark area between the joints. To understand the origin of these elements, the imaging procedure is ...

Identifying people by their gait has gained popularity in the last twenty years. Recent gait recognition methods use acquisitions extracted from advanced sensors such as cameras, depth sensors, microphones, etc. Recently, event-based cameras, a new family of cameras, are gaining popularity. They are vision sensors that ...

Interoperability between contact to contactless images in fingerprint matching is a key factor in the success of contactless fingerprinting devices, which have recently witnessed an increasing demand for biometric authentication. However, due to the presence of perspective distortion and the absence of elastic deformation ...

Recently, biometric systems (BSs) have experienced a broad development mainly due to the great success of deep learning approaches. Generally, most BS provide high security and efficiency. However, they are still vulnerable to attack presentations (APs). To overcome such security issues, these schemes include a Presentation ...

This paper sheds light on the challenges that the EU data protection rules pose to the constitution and the use of large-scale biometric datasets for research purposes. The paper analyses the GDPR (General Data Protection Regulation) rules applicable to research and explains their inadequacy for the constitution of large ...

Morphing attacks are one of the many threats that are constantly affecting deep face recognition systems. It consists of selecting two faces from different individuals and fusing them into a final image that contains the identity information of both. In this work, we propose a novel regularisation term that takes into ...

This contribution proposes the concept of “measurements of biological and behavioural signals” for interdisciplinary research on the automated processing of information from the human body. This concept has merits in mitigating legal definitions’ instability. We further aim to bridge legal and technical vocabularies, ...

Contactless fingerprints have continued to grow interoperability as a faster and more convenient replacement for contact fingerprints, and with covid-19 now starting to be a past event the need for hygienic alternatives has only grown after the sudden focus during the pandemic. Though, past works have shown issues with ...

CNN is a major model used for image-based recognition tasks, including gait recognition, and many CNN-based network structures and/or learning frameworks have been proposed. Among them, we focus on approaches that use multiple labels for learning, typified by multi-task learning. These approaches are sometimes used to ...