Abstract
The human face contains important information enabling the social identification of the owner about the age and gender. In technical systems, the face contains a number of important information that enables the identification of a person. The COVID-19 pandemic made it necessary to cover the face with a mask and thus hide a significant part of information content in the face, important for social or technical purposes. The paper analyses how covering the face with a mask makes it difficult to identify a person in terms of age and gender determination. Analyzes with the employment of state of the art models based on deep neural networks are performed. Their effectiveness is investigated in the context of the limited information available, as with the case of the face covered with a mask.
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Małecki, K., Nowosielski, A., Krzak, M. (2022). Facial Mask Impact on Human Age and Gender Classification. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13350. Springer, Cham. https://doi.org/10.1007/978-3-031-08751-6_51
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