- Home
- Archives
- 2024
- Vol. 5 Issue 6
- Article
An Enhanced Face Recognition Attendance System Using Haar Cascade Algorithm
Authors
1Associate Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. 234Finl Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 6 (2024)
- Published Online
- November-December 2024
- Pages
- 01-04
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
1. N. Li, X. Shen, L. Sun (2023), "Chinese Face Dataset for Face Recognition in an Uncontrolled Classroom Environment," IEEE Access,
Vol. XX, pp. XX-XX
2. J. W. S. D'Souza, S. Jothi, A. Chandrasekhar (2019), "Automated Attendance Marking and Management System by Facial Recognition
Using Histogram," IEEE Access, Vol. XX, pp. XX-XX.
3. S. Bhattacharya, G. S. Nainala, P. Das, A. Routray (2018), "Smart Attendance Monitoring System (SAMS): A Face Recognition based
Attendance System for Classroom Environment," IEEE Access, Vol. XX, pp. XX-XX.
4. J. Wang, X. Li, Y. Liu (2021), "Synchronization Techniques for Multi-Modal Face Recognition Systems," IEEE Transactions on
Cybernetics, Vol. 51, pp. 453-465.
5. F. T. M. H. X. Wang, M. L. Li (2021), "Performance Evaluation of Face Recognition Systems with Anti-Spoofing Measures," IEEE
Transactions on Neural Networks and Learning Systems, Vol. 32, pp. 1003-1015.
6. K. K. M. Z. I. Rahman, R. A. Al-Sharif, M. A. Khan (2022), "A Survey on Face Recognition Techniques and Applications," IEEE
Communications Surveys & Tutorials, Vol. 24, pp. 1230-1254.
7. R. J. M. A. F. G. G. Y. Zhao, Y. J. Liu (2023), "A Novel Approach for Real-time Face Recognition and Spoofing Detection," IEEE
Transactions on Information Forensics and Security, Vol. 18, pp. 1205-1220.
8. C. L. K. M. H. A. Chen, R. S. T. Wei (2023), "Enhanced Synchronization Methods for Distributed Face Recognition," IEEE
Transactions on Network and Service Management, Vol. 20, pp. 188-200.
9. H. R. R. D. M. D. K. Liu, J. Y. Chen (2021), "Face Recognition in Unconstrained Environments: A Study on Robustness," IEEE
Transactions on Multimedia, Vol. 23, pp. 2203-2215.
10. D. R. D. S. S. W. Zheng, F. M. Lin (2022), "An Improved Face Recognition Model with Anti-Spoofing Techniques," IEEE Access, Vol.
10, pp. 15030-15044.
11. S. A. K. M. T. E. Zhang, Y. L. He (2023), "Recent Advances in Face Recognition: A Comprehensive Survey," IEEE Transactions on
Pattern Analysis and Machine Intelligence, Vol. 45, pp. 1120-1145.
12. P. S. A. K. V. D. Sharma, R. B. Joshi (2022), "Synchronized Face Recognition Using Deep Learning," IEEE Transactions on Image
Processing, Vol. 31, pp. 6724-6736.
13. F. T. M. H. X. Wang, M. L. Li (2021), "Performance Evaluation of Face Recognition Systems with Anti-Spoofing Measures," IEEE
Transactions on Neural Networks and Learning Systems, Vol. 32, pp. 1003-1015.
14. Nicol DJ, Macfarlane-Dick D (2006). ‘Formative assessment and self-regulated learning: A model and seven principles of good
feedback practice’ in Student Higher Education Vol.No 31 pp99–218, Publisher: Routledge
15. X. H. J. Li, Y. C. Wang (2022), "Face Recognition and Anti-Spoofing: Challenges and Future Directions," IEEE Signal Processing
Magazine, Vol. 39, pp. 45-58.
Vol. XX, pp. XX-XX
2. J. W. S. D'Souza, S. Jothi, A. Chandrasekhar (2019), "Automated Attendance Marking and Management System by Facial Recognition
Using Histogram," IEEE Access, Vol. XX, pp. XX-XX.
3. S. Bhattacharya, G. S. Nainala, P. Das, A. Routray (2018), "Smart Attendance Monitoring System (SAMS): A Face Recognition based
Attendance System for Classroom Environment," IEEE Access, Vol. XX, pp. XX-XX.
4. J. Wang, X. Li, Y. Liu (2021), "Synchronization Techniques for Multi-Modal Face Recognition Systems," IEEE Transactions on
Cybernetics, Vol. 51, pp. 453-465.
5. F. T. M. H. X. Wang, M. L. Li (2021), "Performance Evaluation of Face Recognition Systems with Anti-Spoofing Measures," IEEE
Transactions on Neural Networks and Learning Systems, Vol. 32, pp. 1003-1015.
6. K. K. M. Z. I. Rahman, R. A. Al-Sharif, M. A. Khan (2022), "A Survey on Face Recognition Techniques and Applications," IEEE
Communications Surveys & Tutorials, Vol. 24, pp. 1230-1254.
7. R. J. M. A. F. G. G. Y. Zhao, Y. J. Liu (2023), "A Novel Approach for Real-time Face Recognition and Spoofing Detection," IEEE
Transactions on Information Forensics and Security, Vol. 18, pp. 1205-1220.
8. C. L. K. M. H. A. Chen, R. S. T. Wei (2023), "Enhanced Synchronization Methods for Distributed Face Recognition," IEEE
Transactions on Network and Service Management, Vol. 20, pp. 188-200.
9. H. R. R. D. M. D. K. Liu, J. Y. Chen (2021), "Face Recognition in Unconstrained Environments: A Study on Robustness," IEEE
Transactions on Multimedia, Vol. 23, pp. 2203-2215.
10. D. R. D. S. S. W. Zheng, F. M. Lin (2022), "An Improved Face Recognition Model with Anti-Spoofing Techniques," IEEE Access, Vol.
10, pp. 15030-15044.
11. S. A. K. M. T. E. Zhang, Y. L. He (2023), "Recent Advances in Face Recognition: A Comprehensive Survey," IEEE Transactions on
Pattern Analysis and Machine Intelligence, Vol. 45, pp. 1120-1145.
12. P. S. A. K. V. D. Sharma, R. B. Joshi (2022), "Synchronized Face Recognition Using Deep Learning," IEEE Transactions on Image
Processing, Vol. 31, pp. 6724-6736.
13. F. T. M. H. X. Wang, M. L. Li (2021), "Performance Evaluation of Face Recognition Systems with Anti-Spoofing Measures," IEEE
Transactions on Neural Networks and Learning Systems, Vol. 32, pp. 1003-1015.
14. Nicol DJ, Macfarlane-Dick D (2006). ‘Formative assessment and self-regulated learning: A model and seven principles of good
feedback practice’ in Student Higher Education Vol.No 31 pp99–218, Publisher: Routledge
15. X. H. J. Li, Y. C. Wang (2022), "Face Recognition and Anti-Spoofing: Challenges and Future Directions," IEEE Signal Processing
Magazine, Vol. 39, pp. 45-58.
Related Articles
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.