Feature vectors extracted from biometric characteristics are often represented using floating point values. It is, however, more appealing to store and compare feature vectors in a binary representation, since it generally ...

Computational workload is one of the key challenges in biometric identification systems. The na{\"i}ve retrieval method based on an exhaustive search becomes impractical with the growth of the number of the enrolled data ...

Eyeglasses change the appearance and visual perception of facial images. Moreover, under objective metrics, glasses generally deteriorate the sample quality of near-infrared ocular images and as a consequence can worsen ...

Biometric data stored in automated recognition systems are at risk of attacks. This is particularly true for large-scale biometric identification systems, where the reference database is often accessed remotely. A popular ...

Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as independent benchmarking, generalizability ...

The growing scale and number of biometric deployments around the world necessitates research into technologies which facilitate fast identification queries and high discriminative power. In this context, this article ...

Protecting minutiae-based fingerprint templates with fully homomorphic encryption has recently been recognised as a hard problem. In this work, we evaluate state-of-the-art fingerprint recognition based on minutiae templates ...

The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS)-Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification ...

In recent years, morphing of facial images has arisen as an important attack vector on biometric systems. Detection of morphed images has proven challenging for automated systems and human experts alike. Likewise, in recent ...