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Deep learning based face recognition algorithm optimisation and application exploration

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DOI: 10.23977/jaip.2023.060510 | Downloads: 95 | Views: 571

Author(s)

Jielun Mao 1, Yingjie Bu 1, Ziyang Yang 1, Zhengyuan Xu 1, Yige Chen 1

Affiliation(s)

1 International College, Wenzhou Business College, Wenzhou, China

Corresponding Author

Jielun Mao

ABSTRACT

Face recognition, an integral biometric identification technology, holds immense potential across domains such as security surveillance, human-computer interaction, and identity authentication. Leveraging the rapid advancement and extensive adoption of deep learning methodologies, face recognition algorithms rooted in deep learning have exhibited substantial advancements, particularly in augmenting recognition precision and resilience. Consequently, a meticulous investigation into the optimization and practical implementation of deep learning-based face recognition algorithms assumes paramount significance. In the ensuing discourse, our focus converges on the meticulous optimization and pragmatic application of face recognition algorithms founded upon deep learning paradigms.

KEYWORDS

Deep learning, face recognition, Algorithms, Optimisation

CITE THIS PAPER

Jielun Mao, Yingjie Bu, Ziyang Yang, Zhengyuan Xu, Yige Chen, Deep learning based face recognition algorithm optimisation and application exploration. Journal of Artificial Intelligence Practice (2023) Vol. 6: 75-81. DOI: http://dx.doi.org/10.23977/jaip.2023.060510.

REFERENCES

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