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Smart Face Recognition System for Secure Authentication, Real-Time Monitoring, and Automated Alerting
Authors
1 Assistant Professor, Department of CSE, Rathinam Technical Campus Coimbatore, Tamil Nadu, India. 2 3 4 5 Final Year Students, Department of CSE, Rathinam Technical Campus Coimbatore, Tamil Nadu, India.
Article Information
- Published In
- Volume 6, Issue 6 (2025)
- Published Online
- November-December 2025
- Pages
- 17-20
- Article Type
- Original Article
- Check for updates
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References
1. Taigman, Y., et al. “DeepFace: Closing the Gap to Human-Level Performance in Face Verification.” IEEE CVPR, 2014.
2. Schroff, F., et al. “FaceNet: A Unified Embedding for Face Recognition.” Google Research, 2015.
3. Parkhi, O. M., et al. “Deep Face Recognition.” BMVC, 2015.
4. Zhang, K., et al. “Joint Face Detection and Alignment Using Multi-Task Cascaded CNN.” IEEE SPL, 2016.
5. OpenCV Documentation. “Real-Time Computer Vision.” 2023.
6. Deng, J., et al. “ArcFace: Additive Angular Margin Loss for Deep Face Recognition.” CVPR, 2019.
7. Khan, A., “Biometric Authentication Systems.” IEEE Access, 2021.
8. Goodfellow, I., et al. “Deep Learning.” MIT Press, 2016.
9. Kumar, R., “Security Enhancement Through Face Recognition Systems.” Journal of Information Security, 2022.
10. OpenFace Project. “Open-Source Face Recognition Tools.” 2023.
2. Schroff, F., et al. “FaceNet: A Unified Embedding for Face Recognition.” Google Research, 2015.
3. Parkhi, O. M., et al. “Deep Face Recognition.” BMVC, 2015.
4. Zhang, K., et al. “Joint Face Detection and Alignment Using Multi-Task Cascaded CNN.” IEEE SPL, 2016.
5. OpenCV Documentation. “Real-Time Computer Vision.” 2023.
6. Deng, J., et al. “ArcFace: Additive Angular Margin Loss for Deep Face Recognition.” CVPR, 2019.
7. Khan, A., “Biometric Authentication Systems.” IEEE Access, 2021.
8. Goodfellow, I., et al. “Deep Learning.” MIT Press, 2016.
9. Kumar, R., “Security Enhancement Through Face Recognition Systems.” Journal of Information Security, 2022.
10. OpenFace Project. “Open-Source Face Recognition Tools.” 2023.
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