Results 61 to 70 of about 1,109 (203)

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, Reuben Moreton, Peter J. B. Hancock, Kay L. Ritchie, Sergio Castro Martinez, Katie L. H. Gray, Josh P. Davis   +6 more
wiley   +1 more source

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

Journal 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

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

IET 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, Yanbin Cui, Qiaoyue Huang, Jun Wan   +3 more
wiley   +1 more source

Pengenalan identitas wajah berbasis Deep Learning dengan transfer Learning Facenet [PDF]

Untuk membuat sistem pengenalan identitas wajah manusia secara akurat, dapat digunakan deep learning yang sudah ditambahkan transfer learning. Salah satu transfer learning untuk pengenalan wajah yaitu FaceNet.
Karlina, Nina
core   +1 more source

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

IET 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

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

Applied 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, Beibut Amirgaliyev, Adil Sovet   +2 more
doaj   +1 more source

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

IET 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, Xin Bi, Wei Zhao, Xiaoping Zhang, Xingchen Duan   +4 more
wiley   +1 more source

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

Pengenalan wajah adalah teknologi yang digunakan untuk mengidentifikasi, mengklasifikasikan, atau memverifikasi individu berdasarkan karakteristik wajah.
Sari, Ade Puspita, Hendrik, Billy
core   +1 more source

A Survey on Face‐Swapping Methods for Identity Manipulation in Deepfake Applications

IET Image Processing, Volume 19, Issue 1, January/December 2025.
A face‐swapping framework is designed to generate an image or video that merges the pose and characteristics of the input image with the identity from the source image. However, this process is inherently complex, involving challenges like identity preservation, expression consistency, and photorealism.
Ramamurthy Dhanyalakshmi, Gabriel Stoian, Daniela Danciulescu, Duraisamy Jude Hemanth   +3 more
wiley   +1 more source

Automated Face Recognition based Attendance System using RetinaFace and FaceNet

, 2023
Traditional approach for attendance in schools and colleges is professor calls the name or roll no. of students and record the attendance. The manual work included in the maintenance and management of the traditional attendance sheets is difficult and is
Umesh Hengaju, Om Krishna Raut, Samundra Dahal, Nabin Adhikari, Abhinav Aryal   +4 more
core   +1 more source