Nowadays, the number of people that utilize either digital applications or machines is
increasing exponentially. Therefore, trustworthy verification schemes are required to ensure …

Biometric allude to an automatic procedure of acknowledging an individual utilizing their
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …

Multimodal biometric systems are preferred as a defense compared to unimodal systems.
This study introduces an open access multimodal vein database named FYO with each letter …

Artificial Intelligence (AI)-based classifiers rely on Machine Learning (ML) algorithms to
provide functionalities that system architects are often willing to integrate into critical Cyber …

Recently, biometric verification systems have been widely used in security applications with
multi-level authentication. Existing machine learning approaches were utilized to develop …

Biometrics character is the science and innovation of examining organic data of human body
for developing frameworks security by giving precise and dependable examples to …

In this work we present a bimodal multitask network for audiovisual biometric recognition.
The proposed network performs the fusion of features extracted from face and speech data …

Biometric recognition has been an extensively researched field in recent years due to the
growth of its applications in daily activities. State of the art work in biometrics proposes the …

Biometric authentication is one of the most exciting areas in the era of security. Biometric
authentication ideally refers to the process of identifying or verifying the user through …

The aim of this paper is to investigate the impact of selected data augmentation techniques
on the learning performance of neural networks for dynamic signature verification. The …