Deep transfer learning on the aggregated dataset for face presentation attack detection

F Abdullakutty, E Elyan, P Johnston, A Ali-Gombe - Cognitive computation, 2022 - Springer
Presentation attacks are becoming a serious threat to one of the most common biometric
applications, namely face recognition (FR). In recent years, numerous methods have been …

[Retracted] Facial Expression Recognition Based on Convolutional Neural Network Fusion SIFT Features of Mobile Virtual Reality

F Yao, L Qiu - Wireless Communications and Mobile …, 2021 - Wiley Online Library
Facial expression recognition computer technology can obtain the emotional information of
the person through the expression of the person to judge the state and intention of the …

Application of Multiscale Facial Feature Manifold Learning Based on VGG‐16

H Ge, Z Zhu, R Liu, X Wu - Journal of Sensors, 2021 - Wiley Online Library
Purpose. In order to solve the problems of small face image samples, high size, low
structure, no label, and difficulty in tracking and recapture in security videos, we propose a …

CNN-LPQ: convolutional neural network combined to local phase quantization based approach for face anti-spoofing

M Madi, M Khammari, MC Larabi - Multimedia Tools and Applications, 2024 - Springer
In this paper, we propose a novel approach for face spoofing detection using a combination
of color texture descriptors with a new convolutional neural network (CNN) architecture. The …

The role of perceived security and social influence on the usage behavior of digital banking services: An extension of the technology acceptance model

HQ Ngo, MT Le - 2023 - elib.vku.udn.vn
The goal of this research is to identify the variables influencing individual commercial bank
customers' intentions to use digital banking services. Digital banking is a relatively emerging …

Face spoof detection: an experimental framework

F Abdullakutty, E Elyan, P Johnston - International Conference on …, 2021 - Springer
Face recognition has recently become widespread in security applications. Although
advancing technology has improved the performance of these systems, they are still prone …

Face comparison analysis of patients with orthognathic surgery treatment using cloud computing–based face recognition application programming interfaces

FA Akgün, Y Fındık, S Solak, MHB Uçar… - American Journal of …, 2023 - Elsevier
Introduction This study aimed to investigate whether the postoperative change in patients
after orthognathic surgery, whose facial aesthetics was affected, led to detectable …

Influence of Standalone and Ensemble Classifiers in Face Spoofing Detection using LBP and CNN Models

M Prasad, S Jain, P Bhanodia, A Priya - European Journal of Electrical …, 2024 - ejece.org
Background: Artificial intelligence has made significant contributions to facial recognition
and biometric identification and is now being employed in a range of applications. Detecting …

A lightweight convolutional neural network built on inceptio-residual and reduction modules for deep facial recognition in realistic conditions

A Satapathy, J Livingston LM - The Imaging Science Journal, 2023 - Taylor & Francis
Since the last two decades, face recognition has been a significant area in the fields of
biometrics and machine learning that uses the different appearances and geometric-based …

Unmasking the imposters: towards improving the generalisation of deep learning methods for face presentation attack detection.

FC Abdullakutty - 2023 - rgu-repository.worktribe.com
Identity theft has had a detrimental impact on the reliability of face recognition, which has
been extensively employed in security applications. The most prevalent are presentation …