Implementation of an Automated Attendance System with Integrated Face Recognition using Haar Cascade and LBPH Algorithm

Authors

  • Sharma S Dept. of Computer Science & Engineering, ADGIPS New Delhi, India
  • Sharma A Dept. of Computer Science & Engineering, ADGIPS New Delhi, India
  • Jain P Dept. of Computer Science & Engineering, ADGIPS New Delhi, India
  • Popli I Dept. of Computer Science & Engineering, ADGIPS New Delhi, India
  • Chahar H Dept. of Computer Science & Engineering, ADGIPS New Delhi, India

DOI:

https://doi.org/10.26438/ijcse/v11i12.3845

Keywords:

Attendance system, Analysis, LBPH Algorithms, Haar cascad, LBP, HOG, cascade classifier

Abstract

This research explores the implementation of a state-of-the-art attendance system utilizing face recognition technology with a focus on Haar Cascade and Local Binary Pattern Histogram (LBPH) algorithms. The primary objective of this system is to revolutionize traditional attendance management methodologies by incorporating computer vision techniques. The Haar Cascade algorithm is employed for precise face detection, ensuring accurate identification of facial features, while the LBPH algorithm enhances facial recognition robustness. The paper elucidates the architectural framework of the proposed system, delineates the algorithmic workflow, and presents empirical results demonstrating the efficacy of the implemented solution. By integrating these advanced algorithms, the developed attendance system not only automates the attendance tracking process but also provides a secure and efficient mechanism for organizations to manage attendance records in a contemporary and technologically sophisticated manner.

References

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Published

2023-12-31
CITATION
DOI: 10.26438/ijcse/v11i12.3845
Published: 2023-12-31

How to Cite

[1]
S. Sharma, A. Sharma, P. Jain, I. Popli, and H. Chahar, “Implementation of an Automated Attendance System with Integrated Face Recognition using Haar Cascade and LBPH Algorithm”, Int. J. Comp. Sci. Eng., vol. 11, no. 12, pp. 38–45, Dec. 2023.

Issue

Vol. 11 No. 12 (2023): IJCSE December Edition

Section

Research Article

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