Practice of Multi Face Recognition Based on Convolutional Neural Network

Practice of Multi Face Recognition Based on Convolutional Neural Network

Authors

  • Tingting Zhu School of Computer and Software, Jincheng College, Sichuan University, Chengdu 611731, Sichuan, China
  • Li Zhou School of Computer and Software, Jincheng College, Sichuan University, Chengdu 611731, Sichuan, China

DOI:

https://doi.org/10.53469/wjimt.2025.08(04).17

Keywords:

Facial Recognition OpenCv Convolutional Neural Network

Abstract

With the continuous development of technology, the application of facial recognition is becoming increasingly widespread in this era of big data. The technology based on deep learning convolutional neural networks is also increasingly recognized and applied. Convolutional neural network training for facial recognition does not require complex feature extraction, only the use of OpenCV library to detect faces, and the automatic training of a feasible network model to achieve a better recognition effect.

References

Zhao, H., Chen, Y., Dang, B., & Jian, X. (2024). Research on Steel Production Scheduling Optimization Based on Deep Learning.

Yao, T., Jian, X., He, J., & Meng, Q. (2025). Drone-3D Printing Linkage for Rapid Construction of Sustainable Post-Disaster Temporary Shelters.

Yang, W., Lin, Y., Xue, H., & Wang, J. (2025). Research on Stock Market Sentiment Analysis and Prediction Method Based on Convolutional Neural Network.

Ji, F., Zheng, X., Xue, H., & Wang, J. (2025). A Study on the Application of Artificial Intelligence in Personalized Go-to-Market Strategy in Retail Industry.

Li, T. (2025). Optimization of Clinical Trial Strategies for Anti-HER2 Drugs Based on Bayesian Optimization and Deep Learning.

Peng, Y., Zhang, G., & Pang, H. (2025). Exploring the effects of IoT-enhanced exercise and cognitive training on executive function in middle-aged adults. Alexandria Engineering Journal, 120, 106-115.

Yang, J., Tang, Y., Li, Y., Zhang, L., & Zhang, H. (2025). Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics. arXiv preprint arXiv:2504.04295.

Ming DY, Li T, Ross MH, et al. Feasibility of post-hospitalization telemedicine video visits for children with medical complexity. J Pediatr Health Care. 2022;36(2):e22–e35

Yuan, J. (2025). Self-Supervised Multimodal Learning for Tumor Classification in Chest Radiography. Authorea Preprints.

Wang, J., Yuan, J., Liu, J., & Evans, L. (2025). Simple Legal Compliance: Automating Regulatory Audits with Explainable LLMs.

He, J., Xu, H., Li, X., & Meng, Q. (2024). Research on Innovative Applications of AI in Sustainable Architecture: Blueprint for Future Building Technology.

Zhou, Y., Wang, Z., Zheng, S., Zhou, L., Dai, L., Luo, H., ... & Sui, M. (2024). Optimization of automated garbage recognition model based on resnet-50 and weakly supervised cnn for sustainable urban development. Alexandria Engineering Journal, 108, 415-427.

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Published

2025-04-23

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