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Research Article

An Enhanced Face Recognition Attendance System Using Haar Cascade Algorithm

  • Paper ID 203
  • Volume 5, Issue 6
  • Pages 01-04
  • Published Online: November-December 2024
  • 33 Views
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Authors

  • Dr. P. Prem kumar1
  • M. Abishek2
  • J.R.S. Abizeeth3
  • M. Hari Balamurugan4

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 Online
November-December 2024
Pages
01-04
Article Type
Research Article
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References

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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.
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Communications Surveys & Tutorials, Vol. 24, pp. 1230-1254.
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Transactions on Multimedia, Vol. 23, pp. 2203-2215.
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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.
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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.
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