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 …
An overview of thermal face recognition methods
M Krišto, M Ivasic-Kos - 2018 41St international convention on …, 2018 - ieeexplore.ieee.org
The popularity of surveillance systems grows as well as a need for better security systems
particularly in a bad lighting conditions or at night. The aim of a security system is to collect …
particularly in a bad lighting conditions or at night. The aim of a security system is to collect …
A multi-biometric iris recognition system based on a deep learning approach
AS Al-Waisy, R Qahwaji, S Ipson, S Al-Fahdawi… - Pattern Analysis and …, 2018 - Springer
Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …
to its ability to deal with a number of significant limitations of unimodal biometric systems …
Analytical study on users' awareness and acceptability towards adoption of multimodal biometrics (MMB) mechanism in online transactions: a two-stage SEM-ANN …
Abstracts The study analyses user awareness of multimodal biometrics and its acceptability
for online transactions in the current dynamic world. The study was performed on the five …
for online transactions in the current dynamic world. The study was performed on the five …
Multimodal biometric scheme for human authentication technique based on voice and face recognition fusion
In this paper, an effective multimodal biometric identification approach for human
authentication tool based on face and voice recognition fusion is proposed. Cepstral …
authentication tool based on face and voice recognition fusion is proposed. Cepstral …
Iris recognition using multi-algorithmic approaches for cognitive internet of things (CIoT) framework
The recent widespread development of connected sensors, cloud, big data analytics, and
ubiquitous sensing technologies have facilitated cognitive Internet of things (CIoT) and its …
ubiquitous sensing technologies have facilitated cognitive Internet of things (CIoT) and its …
The automated prediction of solar flares from SDO images using deep learning
In the last few years, there has been growing interest in near-real-time solar data
processing, especially for space weather applications. This is due to space weather impacts …
processing, especially for space weather applications. This is due to space weather impacts …
Robust deep identification using ECG and multimodal biometrics for industrial internet of things
The use of electrocardiogram (ECG) data for personal identification in Industrial Internet of
Things can achieve near-perfect accuracy in an ideal condition. However, real-life ECG data …
Things can achieve near-perfect accuracy in an ideal condition. However, real-life ECG data …
Hand gesture recognition using multimodal data fusion and multiscale parallel convolutional neural network for human–robot interaction
Hand gesture recognition plays an important role in human–robot interaction. The accuracy
and reliability of hand gesture recognition are the keys to gesture‐based human–robot …
and reliability of hand gesture recognition are the keys to gesture‐based human–robot …
A novel approach for audio file encryption using hand geometry
ZN Al-kateeb, SJ Mohammed - Multimedia Tools and Applications, 2020 - Springer
This paper suggests a new proposed algorithm for encryption/decryption audio files based
on discrete wavelet transform (DWT) and biometric features to provide a high level of …
on discrete wavelet transform (DWT) and biometric features to provide a high level of …