Results 61 to 70 of about 885 (208)

Investigating the effects of degradation and restoration on face recognition in under‐display cameras

open access: yesJournal of the Society for Information Display, Volume 33, Issue 5, Page 698-705, May 2025.
Under‐display camera (UDC) enables full‐screen displays but degrades facial recognition accuracy due to diffraction‐induced distortions. This paper introduces three UDC face recognition datasets generated using a GAN trained on synthetic and real‐world images with flares.
Kyusu Ahn, Chanwoo Park, Jaejin Lee
wiley   +1 more source

NoonGil Lens+: Second Level Face Recognition from Detected Objects to Decrease Computation and Performance Trade-off [PDF]

open access: yes, 2022
Artificial intelligence has developed in various fields. The development became more significant after Neural Networks(NN) began to gain popularity.
Julianto, Eddy   +4 more
core   +2 more sources

Masked Face Recognition Based on ConvNeXt With Coordinate Attention and AdaCos Loss

open access: yesIET Biometrics, Volume 2025, Issue 1, 2025.
Compared with traditional identity authentication methods, biometric recognition technologies offer superior security, reliability, and accuracy, among them, face recognition is of great research value. However, the outbreak of the COVID‐19 epidemic, as well as the cold and hazy weather conditions have led to a widespread preference for wearing masks ...
Chaoying Tang   +3 more
wiley   +1 more source

Stegano-Morphing: Concealing Attacks on Face Identification Algorithms

open access: yesIEEE Access, 2021
Face identification is becoming a well-accepted technology for access control applications, both in the real or virtual world. Systems based on this technology must deal with the persistent challenges of classification algorithms and the impersonation ...
Luis Carabe, Eduardo Cermeno
doaj   +1 more source

A single‐model multi‐task method for face recognition and face attribute recognition in internet of things and visual computing

open access: yesIET Image Processing, Volume 19, Issue 1, January/December 2025.
Abstract The use of the internet of things (IoT) is steadily increasing in a wide range of applications. Integration of IoT, computer vision, and artificial intelligence can improve people's daily life in various domains such as smart homes, smart cities, and smart industries.
Jin Lu, Bo Wu
wiley   +1 more source

Implementasi YOLOv8 dan FaceNet untuk Sistem Keamanan Real-Time Berbasis IoT [PDF]

open access: yes
Sistem keamanan CCTV konvensional umumnya hanya berfungsi sebagai perekam pasif tanpa kemampuan analisis otomatis, yang menyebabkan keterlambatan deteksi karena proses identifikasi dilakukan secara manual.
Kurniawan, Ery   +5 more
core   +1 more source

COVID-19 Face Mask Detection and Identification using FaceNet [PDF]

open access: yes, 2023
Master of Science (Applied Mathematics and Computing Science), 2023This research focuses on developing a mask detection and facial recognition system for real-world applications. The study tests different models for face detection, including Haar Cascade,
Kachasak Intim
core  

Robust Face Recognition Under Challenging Conditions: A Comprehensive Review of Deep Learning Methods and Challenges

open access: yesApplied Sciences
The paper critically reviews face recognition models that are based on deep learning, specifically security and surveillance. Existing systems are susceptible to pose variation, occlusion, low resolution and even aging, even though they perform quite ...
Aidana Zhalgas   +2 more
doaj   +1 more source

A Face Quality Assessment System for Unattended Face Recognition: Design and Implementation

open access: yesIET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper proposes a two‐stage face quality assessment approach for unconscious face recognition in high‐traffic settings. FSA‐Net is enhanced to FSA‐Shared_Nadam for improved head pose estimation, and a TensorFlow model scores face quality based on head pose.
Dunli Hu   +4 more
wiley   +1 more source

Analisis Komparatif Algoritma Deep Learning untuk Pengenalan Wajah: CNN, FaceNet, dan ArcFace [PDF]

open access: yes
Pengenalan wajah adalah teknologi yang digunakan untuk mengidentifikasi, mengklasifikasikan, atau memverifikasi individu berdasarkan karakteristik wajah.
Sari, Ade Puspita, Hendrik, Billy
core   +2 more sources

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