Multimodal biometric system based on fusion techniques: a review
Biometric allude to an automatic procedure of acknowledging an individual utilizing their
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …
[HTML][HTML] A survey of identity recognition via data fusion and feature learning
With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …
variety of applications put forward an urgent demand for user and device identity …
Deepknuckle: Deep learning for finger knuckle print recognition
Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
Exploring capsule networks for disease classification in plants
The overarching goal of smart farming is to develop innovative solutions for future
sustainability of humankind. Crop protection from biological/non-biological factors is a major …
sustainability of humankind. Crop protection from biological/non-biological factors is a major …
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 …
multi-level authentication. Existing machine learning approaches were utilized to develop …
Deep learning-driven palmprint and finger knuckle pattern-based multimodal Person recognition system
Biometric recognition systems are widely being used in several applications due to its
distinctiveness and reliability. In recent years, hand-based person recognition has received …
distinctiveness and reliability. In recent years, hand-based person recognition has received …
Image-based security techniques for water critical infrastructure surveillance
Security-related image analysis of critical infrastructures involves using advanced
technologies to analyze visual data to identify potential threats, vulnerabilities, or abnormal …
technologies to analyze visual data to identify potential threats, vulnerabilities, or abnormal …
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 …
physiological or behavioral characteristics have become a trend in security applications. The …
CED-Net: context-aware ear detection network for unconstrained images
Personal authentication systems based on biometric have seen a strong demand mainly
due to the increasing concern in various privacy and security applications. Although the use …
due to the increasing concern in various privacy and security applications. Although the use …
Multimodal biometric user authentication using improved decentralized fuzzy vault scheme based on Blockchain network
S Sharma, A Saini, S Chaudhury - Journal of Information Security and …, 2024 - Elsevier
Biometric security has emerged as a major concern in the field of Biometric Systems. The
existing centralized Biometric Cryptosystems approach still suffers from privacy issues and …
existing centralized Biometric Cryptosystems approach still suffers from privacy issues and …