A face recognition method based on sparse enhancement and collaborative information fusion for epidemic prevention and control

Dingsheng Deng

doi:10.1117/12.2686644

28 July 2023 A face recognition method based on sparse enhancement and collaborative information fusion for epidemic prevention and control

Dingsheng Deng

Author Affiliations +

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127562G (2023) https://doi.org/10.1117/12.2686644
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

At present, "COVID-19" has spread in 184 countries (regions) in the world, and more than 500 million patients have been diagnosed and caused 66.3 million deaths. The worldwide epidemic is still ongoing, and the epidemic in China is still increasing, therefore, the regular prevention and control of the epidemic is An important part of ensuring people live, live, live, especially in crowded places, there is an urgent need for artificial intelligence, biometrics and other technologies. This paper proposes the face recognition method of sparse enhancement and collaborative information fusion. The paper first explains and generalises the relevant terms, and finally, the practicality of the algorithm is demonstrated through experimental analysis. The recognition rate of the algorithm described in this paper is generally higher than 95% on different facial masking ratios, and the results show that the face recognition method of sparse enhancement and collaborative information fusion based on epidemic prevention and control is a very worthy research The results show that face recognition based on sparse enhancement and collaborative information fusion for epidemic prevention and control is a very worthwhile research technique that can help solve the critical problems of epidemic prevention and control today.

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Dingsheng Deng "A face recognition method based on sparse enhancement and collaborative information fusion for epidemic prevention and control", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127562G (28 July 2023); https://doi.org/10.1117/12.2686644

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KEYWORDS

Facial recognition systems

Detection and tracking algorithms

Associative arrays

Information fusion

Education and training

Analytical research

Principal component analysis

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