Face Recognition Based on Attendance Management System

Authors

  • Rajeev Yadav Department of Computer Science, Amity University, Gurugram, Haryana, India Author
  • Sumit Chauhan Department of Computer Science, Amity University, Gurugram, Haryana, India Author
  • Meenu Assistant Professor, Department of Computer Science, Amity University, Gurugram, Haryana, India Author
  • Swati Gupta Assistant Professor, Department of Computer Science, Amity University, Gurugram, Haryana, India. Author

Keywords:

Viola-Jones Algorithm, Linear Binary Patterns Histograms (LBPH), Python,, Face Detection, Face Recognition

Abstract

Attendance is very important task for an  organization like school, colleges, companies etc. Taking of  attendance manually is very time consuming. It takes up to  5 to 20 minutes and it depends upon the number of students  in a class. Now a day’s technology become more advance,  so we have to use biometric system for attendance because it  takes very less time as compared to taking attendance  manually. In this project we are going to make an  attendance system using face recognition. There are many  algorithms by which we can make an attendance system  using face recognition. In this project we use Viola-Jones  Algorithm and Local Binary Pattern Histogram (LBPH)  Algorithm. Viola-Jones algorithm is used for face detection  and Local Binary Pattern Histogram is used for samples  training and face recognition 

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References

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Published

2020-05-05

How to Cite

Face Recognition Based on Attendance Management System . (2020). International Journal of Innovative Research in Computer Science & Technology, 8(3), 87–91. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13269