Robust face recognition using the deep C2D-CNN model based on decision-level fusion

J Li, T Qiu, C Wen, K Xie, FQ Wen - Sensors, 2018 - mdpi.com
Given that facial features contain a wide range of identification information and cannot be
completely represented by a single feature, the fusion of multiple features is particularly …

A novel optical localization method for partial discharge source using ANFIS virtual sensors and simulation fingerprint in GIL

Y Zang, Y Qian, H Wang, A Xu, X Zhou… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Partial discharge (PD) detection and localization is one of the most effective methods in gas-
insulated transmission lines (GIL) insulation fault diagnosis, which is important to the early …

Deep learning framework based on Word2Vec and CNNfor users interests classification

AH Ombabi, O Lazzez, W Ouarda… - … Sudan conference on …, 2017 - ieeexplore.ieee.org
Social media has given internet users a venue for sharing and expressing their interests and
opinions on different life sides. Daily, millions of users generate huge volume of reviews and …

Gait‐based human age classification using a silhouette model

M Nabila, AI Mohammed, BJ Yousra - IET Biometrics, 2018 - Wiley Online Library
Age estimation at a distance has potential applications including visual surveillance and
monitoring in public places. Far from the camera, image resolution is significantly degraded …

[HTML][HTML] Facial image recognition for biometric authentication systems using a combination of geometrical feature points and low-level visual features

M Vasanthi, K Seetharaman - Journal of King Saud University-Computer …, 2022 - Elsevier
This paper proposes a method for biometric-driven facial image recognition, based on
multivariate correlation analysis, which extracts geometrical feature points and low-level …

ReLiDSS: Novel lie detection system from speech signal

H Nasri, W Ouarda, AM Alimi - 2016 IEEE/ACS 13th …, 2016 - ieeexplore.ieee.org
Lying is among the most common wrong human acts that merits spending time thinking
about it. The lie detection is until now posing a problem in recent research which aims to …

Biometric-based security system for smart riding clubs

I Jarraya, FB Said, TM Hamdani, B Neji… - IEEE …, 2022 - ieeexplore.ieee.org
Horses, workers or riders need safety in a farm or a riding club. On account of the great
value of the horse, the breeder needs to protect it from theft and disease. In this context, it is …

Deep neural network for online writer identification using beta-elliptic model

T Dhieb, W Ouarda, H Boubaker… - 2016 International joint …, 2016 - ieeexplore.ieee.org
The online writer identification is a required component in many applications of Computer
vision and Pattern Recognition. The offline writer identification is more developed in …

Performance improvement in face recognition system using optimized Gabor filters

R Mohammadian Fini, M Mahlouji… - Multimedia Tools and …, 2022 - Springer
A biometric method for identifying people is face recognition. In the face recognition process,
the key step is to extract the distinctive features of each person's image. One of the most …

A novel face recognition algorithm based on the combination of LBP and CNN

P Ke, M Cai, H Wang, J Chen - 2018 14th IEEE International …, 2018 - ieeexplore.ieee.org
In order to overcome the effects of posture, illumination, expression and other factors on face
recognition, this paper proposes an algorithm which is based on local binary pattern (LBP) …