Face Recognition and Automatic Attendance Management System using Machine Learning Techniques

DOI: https://doi.org/10.46610/JOCSES.2022.v08i02.003

Authors

  • Ms. Sahana Kumari B
  • Mr. H. Manoj T. Gadiyar
  • Ms. Rajeshwari S Gaonkar
  • Ms. Rachana Nayak
  • Ms. Raksha R Kademani
  • Ms. Shreya S Pattar

Keywords:

Attendance, Frontal Face Recognition, Haar Cascade Algorithm, Local binary, Machine learning, Pattern Histogram

Abstract

An automated attendance management system maintains a record of the attendance of a particular student, whether he/she is present in the class. The most important element of the virtual platform for students is maintaining attendance in an educational institution. When done manually, it wastes a substantial amount of time and effort. Due to a lack of a reliable attendance mechanism, there were also numerous fraudulent attendances. The face is the most significant feature that distinguishes a person. As a result, the focus of this study is on an attendance system that uses a real time face identification method based on the frontal face recognition idea, as well as an efficient Haar cascade algorithm based on an open-source image processing framework as well as the Local Binary Pattern Histogram.

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Published

2022-06-29

Issue

Vol. 8 No. 2 (2022)

Section

Articles