Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Application of Face Recognition Technology Based on Deep Learning Algorithms in Credit Banks

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342822,
        author={Guangpeng  Li and Jie  Sun and Yingling  Du and Yingli  Zhou},
        title={Application of Face Recognition Technology Based on Deep Learning Algorithms in Credit Banks},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={credit bank facial recognition deep learning algorithm information platform},
        doi={10.4108/eai.17-11-2023.2342822}
    }
    
  • Guangpeng Li
    Jie Sun
    Yingling Du
    Yingli Zhou
    Year: 2024
    Application of Face Recognition Technology Based on Deep Learning Algorithms in Credit Banks
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342822
Guangpeng Li1,*, Jie Sun1, Yingling Du1, Yingli Zhou1
  • 1: Shandong Institute of Commerce and Technology, Jinan 250103, Shandong, Chin
*Contact email: sictzhileng@126.com

Abstract

With the development of the times, the use of credit banks in education has become very widespread, but the accuracy of face recognition in credit banks is still insufficient. Therefore, further improvements need to be made to credit banks. This article focused on the use of deep learning algorithm based facial recognition technology in credit banks, aiming to improve their facial recognition through deep learning algorithms. This article experimentally investigated the average scores of credit bank classes and traditional credit bank classes using deep learning algorithms for facial recognition technology. It was found that the class average score of credit banks using deep learning algorithms for facial recognition technology was up to 90 points, while the class average score of traditional learning banks was up to 76 points. Therefore, it was proven that the use of deep learning algorithms for facial recognition in credit banks was still effective and could improve students’ grades.