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 …

Transfer learning convolutional neural network with modified Lion optimization for multimodal biometric system

A Gona, M Subramoniam, R Swarnalatha - Computers and Electrical …, 2023 - Elsevier
Recently, biometric verification systems have been widely used in security applications with
multi-level authentication. Existing machine learning approaches were utilized to develop …

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 …

[HTML][HTML] Enhanced multimodal biometric recognition systems based on deep learning and traditional methods in smart environments

S A. El_Rahman, AS Alluhaidan - Plos one, 2024 - journals.plos.org
In the field of data security, biometric security is a significant emerging concern. The
multimodal biometrics system with enhanced accuracy and detection rate for smart …

Artificial Neural Network Approach for multimodal biometric authentication system

MJ Sudhamani, I Sanyal, MK Venkatesha - Proceedings of Data Analytics …, 2022 - Springer
The engrossing development in biometric authentic system renders secured access to
civilian and public information. Substantial evidences in the literature defeats the unimodal …

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 …

[PDF][PDF] A deep learning-based multimodal biometric system using score fusion

C Medjahed, A Rahmoun, C Charrier… - IAES Int. J. Artif …, 2022 - academia.edu
Recent trends in artificial intelligence tools-based biometrics have overwhelming attention to
security matters. The hybrid approaches are motivated by the fact that they combine mutual …

Robust multimodal biometric system based on feature level fusion of optimiseddeepnet features

H Mehraj, AH Mir - Wireless Personal Communications, 2022 - Springer
Multimodal biometric systems combine feature knowledge from multiple traits to overcome
shortcomings of unimodal systems. However, most of the traditional biometric systems …

HGSSA-bi LSTM: A Secure Multimodal Biometric Sensing Using Optimized Bi-Directional Long Short-Term Memory with Self-Attention

J Priyani, P Nanglia, P Singh, V Shokeen… - ECS Sensors …, 2024 - iopscience.iop.org
Biometric sensing technology has become a frequent element of everyday life as a result of
the global demand for information security and safety legislation. In recent years, multimodal …

Multimodal biometric person authentication using face, ear and periocular region based on convolution neural networks

MS Lohith, YSK Manjunath… - International Journal of …, 2023 - World Scientific
Biometrics is an active area of research because of the increase in need for accurate person
identification in numerous applications ranging from entertainment to security. Unimodal and …