HIGHLIGHTS
- What: In the wake of the swift development of artificial intelligence (AI) and machine learning (ML) technologies face recognition technology has emerged as a prominent research focus within the realm of biometrics. The algorithm optimization strategies and data security protection schemes proposed in this study provide robust support for the sustainable development of face recognition technology. In the model training stage, the training data set is used to train the model and update the model parameters. Although the model has substantially improved recognition accuracy in complex environments, there is still a need to improve recognition performance under . . .
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