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

Autor:	Ashwan A. Abdulmunem, Noor D. Al-Shakarchy, Mais Saad Safoq
Rok vydání:	2023
Předmět:	General Computer Science COVID-19 Convolutional neural network Electrical and Electronic Engineering Classification Deep learning model Face mask detection
Zdroj:	International Journal of Electrical and Computer Engineering (IJECE). 13:1550
ISSN:	2722-2578 2088-8708
DOI:	10.11591/ijece.v13i2.pp1550-1559
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929dd07347a8e84db0f72e3aa96db709 https://doi.org/10.11591/ijece.v13i2.pp1550-1559 Zobrazit plný text záznamu