[HTML][HTML] Feature-level fusion of face and speech based multimodal biometric attendance system with liveness detection

K Jha, A Jain, S Srivastava - AIP Advances, 2024 - pubs.aip.org
The rapid growth of deep learning and the Internet of Things has spurred the need for
touchless biometric systems in areas where cleanliness and non-intrusive user interaction …

Enhancing Biometric Security with Bimodal Deep Learning and Feature-Level Fusion of Facial and Voice Data, Journal of Telecommunications and Information …

K Merit, M Beladgham - 2024 - bc.itl.waw.pl
Abstract Recent research in biometric technologies underscores the benefits of multimodal
systems that use multiple traits to enhance security by complicating the replication of …

Integrating Multimodal Recognition for Smart Load Management and Spoof Detection in Residential Environments

K Gautam, A Agarwal, K Ahmad… - 2024 15th …, 2024 - ieeexplore.ieee.org
The growing pervasiveness of smart technology necessitates robust security measures to
protect interconnected systems within smart societies. This paper introduces a novel, two …

[PDF][PDF] RANDOMIZED MULTI-BIOMETRIC LIVENESS DETECTION: PROSPECTS AND APPLICATIONS FOR SECURE AUTHENTICATION

K Okereafor, O Osuagwu, SF Ayegba… - Journal Homepage: http …, 2020 - academia.edu
Biometric systems verify humans using their unique physiological or behavioural patterns to
offer more secure authentication over passwords and tokens. Despite their benefits …

A Systematic Review on Deep Learning-Based Indirect Attack Detection for Liveness Detection in Multimodal Biometric Systems and Applications

PW Gedam, A Tiwari, M Dhabu - Available at SSRN 5025164 - papers.ssrn.com
A systematic review of deep learning and machine learning based techniques for liveness
detection in multimodal biometric systems is conducted, with a particular focus on indirect …

Enhancing Biometric Security with Bimodal Deep Learning and Feature-level Fusion of Facial and Voice Data

K Merit, M Beladgham - Journal of Telecommunications and Information …, 2024 - jtit.pl
Recent research in biometric technologies underscores the benefits of multimodal systems
that use multiple traits to enhance security by complicating the replication of samples from …

Msu-avis dataset: Fusing face and voice modalities for biometric recognition in indoor surveillance videos

A Chowdhury, Y Atoum, L Tran, X Liu… - 2018 24th International …, 2018 - ieeexplore.ieee.org
Indoor video surveillance systems often use the face modality to establish the identity of a
person of interest. However, the face image may not offer sufficient discriminatory …

Face Recognition for Logging in Using Deep Learning for Liveness Detection on Healthcare Kiosks

C Ryando, R Sigit, S Setiawardhana… - … : International Journal on …, 2025 - joiv.org
This study explores the enhancement of healthcare kiosks by integrating facial recognition
and liveness detection technologies to address the limitations of healthcare service …

Prevention of Spoofing Attack Through Fingerprint Liveness Detection System

M Lokhande, M Chopade, N Desale… - … and Smart Systems …, 2024 - ieeexplore.ieee.org
Although digital identities are frequently secured through biometric authentication, they
remain vulnerable to various spoofing attacks. Enhancing security necessitates the …

Smartphone multi-modal biometric authentication: Database and evaluation

R Ramachandra, M Stokkenes, A Mohammadi… - arXiv preprint arXiv …, 2019 - arxiv.org
Biometric-based verification is widely employed on the smartphones for various
applications, including financial transactions. In this work, we present a new multimodal …