Deep learning for iris recognition: A survey

K Nguyen, H Proença, F Alonso-Fernandez - ACM Computing Surveys, 2024 - dl.acm.org
In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …

Applications of artificial intelligence, machine learning, and deep learning on facial plastic surgeries

E Tokgöz, MA Carro - Cosmetic and reconstructive facial plastic surgery: A …, 2023 - Springer
Applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL)
started to gain popularity in plastic surgical procedure analysis and predictive work with …

[HTML][HTML] Facial recognition system for people with and without face mask in times of the covid-19 pandemic

JS Talahua, J Buele, P Calvopiña, J Varela-Aldás - Sustainability, 2021 - mdpi.com
In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the
use of a face mask as a mandatory biosafety measure. This has caused problems in current …

Masked face age and gender identification using CAFFE-modified MobileNetV2 on photo and real-time video images by transfer learning and deep learning …

BA Kumar, NK Misra - Expert Systems with Applications, 2024 - Elsevier
One of the most challenging factors related to masked face age and gender identification
(MFAGI) is develo** a technique to quickly carry out identification and maintain accuracy …

[HTML][HTML] IoT solutions and AI-based frameworks for masked-face and face recognition to fight the COVID-19 pandemic

J Al-Nabulsi, N Turab, HA Owida, B Al-Naami… - Sensors, 2023 - mdpi.com
A global health emergency resulted from the COVID-19 epidemic. Image recognition
techniques are a useful tool for limiting the spread of the pandemic; indeed, the World …

[HTML][HTML] E2F-Net: Eyes-to-face inpainting via StyleGAN latent space

A Hassanpour, F Jamalbafrani, B Yang, K Raja… - Pattern Recognition, 2024 - Elsevier
Face inpainting, the technique of restoring missing or damaged regions in facial images, is
pivotal for applications like face recognition in occluded scenarios and image analysis with …

Gender recognition in masked facial images using EfficientNet and transfer learning approach

F Mosayyebi, H Seyedarabi, R Afrouzian - International Journal of …, 2024 - Springer
The rapid advancement of Artificial Intelligence (AI) technology has enabled diverse systems
to leverage individual characteristics to enhance their functionality. Among these attributes …

Benchmarking neural network compression techniques for ocular-based user authentication on smartphones

A Almadan, A Rattani - IEEE Access, 2023 - ieeexplore.ieee.org
With the unprecedented mobile technology revolution, mobile devices have transcended
from being the primary means of communication to an all-in-one platform. Consequently, an …

Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques

D Akingbesote, Y Zhan, R Maskeliūnas… - Algorithms, 2023 - mdpi.com
The paper presents an evaluation of a Pareto-optimized FaceNet model with data
preprocessing techniques to improve the accuracy of face recognition in the era of mask …

E2F-GAN: Eyes-to-face inpainting via edge-aware coarse-to-fine GANs

A Hassanpour, AE Daryani, M Mirmahdi, K Raja… - IEEE …, 2022 - ieeexplore.ieee.org
Face inpainting is a challenging task aiming to fill the damaged or masked regions in face
images with plausibly synthesized contents. Based on the given information, the …