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Determination of the Factors Influencing Proper Face Recognition in Faces Protected by Face Masks, an Analysis of Their Algorithms and the Factors Affecting Recognition Success
2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 ; 1675 CCIS:387-400, 2022.
Article in English | Scopus | ID: covidwho-2173758
ABSTRACT
One of the many collateral effects that the entire planet has suffered with the appearance of covid-19 and the declaration of this as a pandemic, has been evidenced in the treatment of facial recognition algorithms and the variety of applications, both commercial and for exclusive use in research for this same purpose. For the time being, there are already reports of effectiveness with respect to the analysis of these algorithms and that are paving the way to understand the degree of affectation that the use of face masks can have on facial recognition processes. In this context, it is important to determine how it is possible that throughout these almost two years of confinement and use of face shields and masks, the human being, regardless of his age, has been able to maintain its advantage over artificial intelligence systems when recognizing the face of a relative, friend or simply an acquaintance;that is why, the present study aims to evaluate some face recognition systems in order to determine the main problems faced by these algorithms when recognizing a face protected with a mask. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 Year: 2022 Document Type: Article