Review of Face recognition algorithms

Wei, Yuting

doi:10.1145/3436349.3436367

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2022

2023

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Cited by 2 publications

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“…Masked face detection is categorized as an object detection problem as it is based on detecting the mask (object) in the images or videos. In the last few years, object detection and face recognition algorithms have progressed [9]. Since 2014, deep-learning applications in object identification have led to significant advancements in accuracy and detection speed [10].…”

Section: Introductionmentioning

confidence: 99%

Deep learning based masked face recognition in the era of the COVID-19 pandemic

Abdulmunem

Al-Shakarchy

Safoq

2023

IJECE

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<span lang="EN-US">During the coronavirus disease 2019 (COVID-19) pandemic, monitoring for wearing masks obtains a crucial attention due to the effect of wearing masks to prevent the spread of coronavirus. This work introduces two deep learning models, the former based on pre-trained convolutional neural network (CNN) which called MobileNetv2, and the latter is a new CNN architecture. These two models have been used to detect masked face with three classes (correct, not correct, and no mask). The experiments conducted on benchmark dataset which is face mask detection dataset from Kaggle. Moreover, the comparison between two models is driven to evaluate the results of these two proposed models.</span>

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Section: Introductionmentioning

confidence: 99%