Blockchain-based trusted facial expression recognition system
Xiaoyang Zhou, Ying Baohua, Yuebo Yue, Linjun Xie, Peiyuan Li, Junjun Wei, Ying Liu, Kai Sun, Jingjie Yan · 2025
This paper proposes a face authentication and facial expression recognition system based on blockchain and trusted computing technology. With the continuous development of digital technology, people's demand for information security and convenience is increasing. Traditional password logins have problems such as insufficient security and easy theft. As a result, the adoption of biometrics as a means of login verification has become a trend. This system combines the immutable and decentralized characteristics of the blockchain, and combines the trusted computing technology to ensure the security, trustworthiness and integrity of the computing equipment and the computing process, and creates a Trusted Execution Environment (TEE), using the efficiency and accuracy of face recognition technology to achieve a safe, reliable, simple and convenient login system. At the same time, the combination of blockchain and deep learning for distributed training can achieve privacy protection, provide a secure and trustworthy training environment, and solve the challenges and problems in distributed training. By integrating the trained model from each blockchain into the final facial expression recognition model, the efficiency of training and the accuracy of expression recognition are greatly improved.