Research Article
Application of Face Recognition Technology Based on Deep Learning Algorithms in Credit Banks
@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
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.
