Multimodal biometrics recognition based on local fusion visual features and variational Bayesian extreme learning machine

Y Chen, J Yang, C Wang, N Liu - Expert Systems with Applications, 2016 - Elsevier
Multimodal biometrics provides rich information in biometric recognition systems, thus a
valid multimodal feature fusion framework and an efficient recognition algorithm are …

A novel multimodal biometrics recognition model based on stacked ELM and CCA methods

J Yang, W Sun, N Liu, Y Chen, Y Wang, S Han - Symmetry, 2018 - mdpi.com
Multimodal biometrics combine a variety of biological features to have a significant impact
on identification performance, which is a newly developed trend in biometrics identification …

Two feature-level fusion methods with feature scaling and hashing for multimodal biometrics

RH Jeng, WS Chen - IETE Technical Review, 2017 - Taylor & Francis
This paper presents a new feature-level information fusion mechanism based on shuffle
coding, called shuffle coding-based feature-level fusion (SC-FLF), for personal …

Multi classifier-based score level fusion of multi-modal biometric recognition and its application to remote biometrics authentication

J Aravinth, S Valarmathy - The Imaging Science Journal, 2016 - Taylor & Francis
Biometric recognition has become a common and reliable way to authenticate the identity of
a person. Multimodal biometrics has become an interest of areas for researches in the …

Optimal fusion of multimodal biometric authentication using wavelet probabilistic neural network

CH Chen, CY Chen - 2013 IEEE International Symposium on …, 2013 - ieeexplore.ieee.org
In order to enhance security and protection capability, the integration of different biometric
features to set up multimodal biometric authentication system is an effective way. It can …

Deep Hybrid Multimodal Biometric Recognition System Based on Features‐Level Deep Fusion of Five Biometric Traits

MH Safavipour, MA Doostari… - Computational …, 2023 - Wiley Online Library
The need for information security and the adoption of the relevant regulations is becoming
an overwhelming demand worldwide. As an efficient solution, hybrid multimodal biometric …

Face-Iris multimodal biometric recognition system based on deep learning

A Hattab, A Behloul - Multimedia Tools and Applications, 2024 - Springer
With the increasing demand for user recognition in several recent applications, experts
highly recommend using biometric identification technology in application development …

Deep belief network-based hybrid model for multimodal biometric system for futuristic security applications

M Vijay, G Indumathi - Journal of Information Security and Applications, 2021 - Elsevier
Biometrics is the technology to identify humans uniquely based on face, iris, and fingerprints,
etc. Biometric authentication allows the person recognition automatically on the basis of …

Optimal feature level fusion for secured human authentication in multimodal biometric system

H Purohit, PK Ajmera - Machine Vision and Applications, 2021 - Springer
The rising demand for high security and reliable authentication schemes, led to the
development of the unimodal biometric system so that the multimodal biometric system has …

[PDF][PDF] Multimodal biometric recognition based on fusion of low resolution face and finger veins

MI Razzak, MK Khan, K Alghathbar… - Int. J. Innov. Comput …, 2011 - researchgate.net
Multimodal biometric systems utilize multiple biometric sources in order to increase
robustness as compared to single biometric system. Most of the biometric systems in real are …