Multimodal biometric reorganization system using deep learning convolutional neural network

AK Gona, M Subramoniam - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Biometric authentication is becoming the crucial technology in real world applications, which
includes automation and security. However, the various works are implemented the …

AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK

L Omotosho, I Ogundoyin, O Adebayo… - Journal of Engineering …, 2021 - jesr.ub.ro
Multimodal biometric system combines more than one biometric modality into a single
method in order, to overcome the limitations of unimodal biometrics system. In multimodal …

Efficient multimodal biometric recognition for secure authentication based on deep learning approach

V Rajasekar, M Saracevic, M Hassaballah… - … Journal on Artificial …, 2023 - World Scientific
Biometric identification technology has become increasingly common in our daily lives as
the requirement for information protection and control legislation has grown around the …

Multimodal biometrics fusion algorithm using deep reinforcement learning

Q Huang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Multimodal biometrics fusion plays an important role in the field of biometrics. Therefore, this
paper presents a multimodal biometrics fusion algorithm using deep reinforcement learning …

Convolutional neural network with improved feature ranking for robust multi-modal biometric system

A Gona, M Subramoniam - Computers and Electrical Engineering, 2022 - Elsevier
In recent years biometric identification and verification of human beings based on their
physiological or behavioral characteristics have become a trend in security applications. The …

Efficient fusion based multi-modal biometric authentication system using machine learning

R Sindhuja, S Srinivasan - … and Intelligent Computing: Proceedings of ESIC …, 2020 - Springer
In the recent past, a multi-modal biometric authentication system plays a vital role in
individual biometric authentication for private and public sections to assure security. The …

Performance Evaluation of Biometric Authentication Using Fragment Jaya Optimizer-Based Deep CNN with Multi-kernel SVM

N Umasankari, B Muthukumar… - SN Computer …, 2024 - Springer
The earlier research clearly indicated that the bimodal authentication system has more
efficiency than unimodal and multimodal. This is due to the reason for the best intact …

[PDF][PDF] A Feature level Fusion of Multimodal Biometric Authentication System

MM Selim, RO Mahmoud, OA Muhi - J Converg Inf Technol, 2018 - fci.stafpu.bu.edu.eg
Biometric authentication plays an extremely important role all over the world over the last
few decades. Biometrics literally means all technological techniques utilized to authenticate …

A secure multi-modal biometrics using deep ConvGRU neural networks based hashing

TS Sasikala - Expert Systems with Applications, 2024 - Elsevier
Unimodal biometrics has various issues: noisy data, inter-class similarities, intra-class
similarities, spoofing, and non-universality, making this system less secure and accurate …

Feature-level fusion of fingerprint and online signature for multimodal biometrics

M Leghari, S Memon… - … Conference on Computing …, 2018 - ieeexplore.ieee.org
Multimodal biometrie systems have received greater attention from the research community
since few decades due to various reasons such as: to increase accuracy and efficiency as …