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 …

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 …

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 …

[HTML][HTML] Deep learning approach for multimodal biometric recognition system based on fusion of iris, face, and finger vein traits

N Alay, HH Al-Baity - Sensors, 2020 - mdpi.com
With the increasing demand for information security and security regulations all over the
world, biometric recognition technology has been widely used in our everyday life. In this …

[PDF][PDF] Multimodal biometrics of fingerprint and signature recognition using multi-level feature fusion and deep learning techniques

AB Channegowda, HN Prakash - Indones. J. Electr. Eng. Comput …, 2021 - academia.edu
Providing security in biometrics is the major challenging task in the current situation. A lot of
research work is going on in this area. Security can be more tightened by using complex …

A hybrid fusion model of iris, palm vein and finger vein for multi-biometric recognition system

C Zhou, J Huang, F Yang, Y Liu - Multimedia Tools and Applications, 2020 - Springer
Biometric system has been widely adopted for human verification or identification, so
inherently it requires the characteristics like high security, accuracy and acceptability …

Fusion time reduction of a feature level based multimodal biometric authentication system

RO Mahmoud, MM Selim, OA Muhi - International Journal of …, 2020 - igi-global.com
In the present study, a multimodal biometric authentication method is presented to confirm
the identity of a person based on his face and iris features. This method depends on multiple …

Deep multimodal biometric recognition using contourlet derivative weighted rank fusion with human face, fingerprint and iris images

K Gunasekaran, J Raja, R Pitchai - Automatika: časopis za automatiku …, 2019 - hrcak.srce.hr
Sažetak The goal of multimodal biometric recognition system is to make a decision by
identifying their physiological behavioural traits. Nevertheless, the decision-making process …

Fingerprint and Iris fusion based recognition using RBF Neural Network

U Gawande, M Zaveri, A Kapur - Journal of signal and image …, 2013 - search.proquest.com
Multimodal biometric systems are widely used for different security applications. Major
usage of such systems is in authentication and identification purpose, for example …

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 …