Continuous multimodal biometric authentication schemes: a systematic review
Building safeguards against illegitimate access and authentication is a cornerstone for
securing systems. Existing user authentication schemes suffer from challenges in detecting …
securing systems. Existing user authentication schemes suffer from challenges in detecting …
[HTML][HTML] State-of-the-art deep learning methods on electrocardiogram data: systematic review
Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …
tools that can provide useful information regarding a patient's health status. Deep learning …
A multitier deep learning model for arrhythmia detection
An electrocardiograph (ECG) is employed as a primary tool for diagnosing cardiovascular
diseases (CVDs). ECG signals provide a framework to probe the underlying properties and …
diseases (CVDs). ECG signals provide a framework to probe the underlying properties and …
Convolutional neural network approach based on multimodal biometric system with fusion of face and finger vein features
Y Wang, D Shi, W Zhou - Sensors, 2022 - mdpi.com
In today's information age, how to accurately identify a person's identity and protect
information security has become a hot topic of people from all walks of life. At present, a …
information security has become a hot topic of people from all walks of life. At present, a …
Using convolutional neural network and a single heartbeat for ECG biometric recognition
DA AlDuwaile, MS Islam - Entropy, 2021 - mdpi.com
The electrocardiogram (ECG) signal has become a popular biometric modality due to
characteristics that make it suitable for develo** reliable authentication systems. However …
characteristics that make it suitable for develo** reliable authentication systems. However …
Face and gait biometrics authentication system based on simplified deep neural networks
Research on biometric methods has gained momentum due to the increase in security
concerns. Face and gait biometrics are two biometrics that are safe and non-invasive in …
concerns. Face and gait biometrics are two biometrics that are safe and non-invasive in …
[HTML][HTML] End-to-end fusion of hyperspectral and chlorophyll fluorescence imaging to identify rice stresses
Herbicides and heavy metals are hazardous substances of environmental pollution,
resulting in plant stress and harming humans and animals. Identification of stress types can …
resulting in plant stress and harming humans and animals. Identification of stress types can …
Multimodal approach for enhancing biometric authentication
Unimodal biometric systems rely on a single source or unique individual biological trait for
measurement and examination. Fingerprint-based biometric systems are the most common …
measurement and examination. Fingerprint-based biometric systems are the most common …
Deep feature fusion of fingerprint and online signature for multimodal biometrics
The extensive research in the field of multimodal biometrics by the research community and
the advent of modern technology has compelled the use of multimodal biometrics in real life …
the advent of modern technology has compelled the use of multimodal biometrics in real life …
Integration of efficientnetb0 and machine learning for fingerprint classification
A fingerprint is a common form of biometric technology used in human identification. The
classification of fingerprints is crucial in identification systems because it significantly …
classification of fingerprints is crucial in identification systems because it significantly …