The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …

Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …

The exploration of multimodal language models integrates multiple data types, such as
images, text, language, audio, and other heterogeneity. While the latest large language …

This paper presents a new approach to improve the performance of finger-vein identification
systems presented in the literature. The proposed system simultaneously acquires the finger …

The wide deployment of biometric recognition systems in the last two decades has raised
privacy concerns regarding the storage and use of biometric data. As a consequence, the …

In this paper we develop a Quality Assessment approach for face recognition based on deep
learning. The method consists of a Convolutional Neural Network, FaceQnet, that is used to …

The RSR2015 database, designed to evaluate text-dependent speaker verification systems
under different durations and lexical constraints has been collected and released by the …

Biometrics refers to automated methods of recognizing a person based on physiological or
behavioral characteristics. Among the features measured are face, fingerprints, hand …

The term “iris” refers to the highly textured annular portion of the human eye that is externally
visible. An iris recognition system exploits the richness of these textural patterns to …

In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …