Results 51 to 60 of about 885 (208)
Analisis Metode CNN menggunakan Arsitektur Facenet dan VGG16 dalam Mengenali Wajah Penyandang Tunanetra [PDF]
Face recognition is a rapidly growing biometric technology, especially with the application of Convolutional Neural Networks (CNN) such as FaceNet and VGG16.
Prastyo, Agung Budi, Setyanto, Arief
core +1 more source
Combining Classifiers for Deep Learning Mask Face Recognition
Information, 2023 This research proposes a single network model architecture for mask face recognition using the FaceNet training method. Three pre-trained convolutional neural networks of different sizes are combined, namely InceptionResNetV2, InceptionV3, and ...
Wen-Chang Cheng +3 more
doaj +1 more source
Enhanced Face Recognition With Residual Networks and Dilated Contextual Transformer Attention
IET Biometrics, Volume 2026, Issue 1, 2026.Face recognition in unconstrained environments remains a challenging problem due to significant variations in facial appearance. In this article, a systematic investigation is conducted into the effectiveness of integrating attention mechanisms within a ResNet34 backbone. ResNet34 is adopted as a compact backbone compared to commonly used deeper ResNet
Randa Nachet +3 more
wiley +1 more source
Adaptive Multiple Layer Retinex-Enabled Color Face Enhancement for Deep Learning-Based Recognition
IEEE Access, 2021 Face image captured under uncontrolled illumination conditions is one of the most significant challenges for real-world human face recognition systems.
Duong Binh Giap +3 more
doaj +1 more source
Reinforcement Training of Face Recognition Systems Using Morphing and XAI Methods
IET Biometrics, Volume 2026, Issue 1, 2026.This study introduces a reinforcement training framework for face recognition systems (FRSs) that leverages facial morphing techniques to generate counterfactual visual instances for model enhancement. Two complementary morphing strategies were employed: a geometric approach based on Delaunay–Voronoi triangulation (DVT‐Morph) and a generative approach ...
Roberto Gallardo-Cava +6 more
wiley +1 more source
ASEAN Child Face Recognition System with FaceNet [PDF]
, 2019 Current researches show that deep learning is the state-of-art techniques in machine learning which outperform the human level performance. It is also the popular technique which gives high accuracy in computer vision.
Shun Lei Myat Oo, Aung Nway Oo
core
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
wiley +1 more source
Reviews in Aquaculture, Volume 17, Issue 4, September 2025.ABSTRACT Individual identification of fish within the same species is one of the most crucial and frequently performed tasks in aquaculture research, and it is also widely used in aquaculture production. Fish sampling, treating, welfare, and disease state estimation are increasingly turning from group‐based to individualized.
Mohammad Mehdi Ziaei +2 more
wiley +1 more source
A Forensic Facial Examiner and Professional Team Advantage for Masked Face Identification
Applied Cognitive Psychology, Volume 39, Issue 4, July/August 2025.ABSTRACT Face masks and coverings are often encountered by facial examiners (‘examiners’) in forensic case work. Examiners are skilled at unconcealed face identifications, but their accuracy for masked face identifications is unknown, yet can be used as evidence in court.
Eilidh Noyes +6 more
wiley +1 more source
Deep Learning Mask Face Recognition with Annealing Mechanism
Applied Sciences, 2023 Face recognition (FR) has matured with deep learning, but due to the COVID-19 epidemic, people need to wear masks outside to reduce the risk of infection, making FR a challenge.
Wen-Chang Cheng +2 more
doaj +1 more source