Adaptive recognition system based on human face big data artificial intelligence clustering

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With the development of big data related fields, the research of face recognition has made great progress. However, complex external uncertain factors are still one of the key issues affecting the performance of face recognition systems. Therefore, how to solve the impact of uncertain changes on the performance of face recognition has become a challenging problem in practical face recognition technology. This paper takes the face recognition problem under complex uncertain factors as the main research object, focuses on the in-depth study of artificial intelligence algorithms and clustering feature extraction algorithms, and proposes a corresponding adaptive recognition system scheme: based on improved graph face recognition algorithm And feature fusion face recognition algorithm based on artificial intelligence clustering.