Face Recognition Based Attendance System

EasyChair Preprint no. 7841

Abstract

In this age of modern technology, which is developing at a rapid pace, there is no reason why such an important event in education as attendance should be done in the old, boring and traditional way. Face Recognition Attendance Management System saves a lot of time and energy for both the teaching staff and the students. Attendance is monitored by the face recognition algorithm by recognizing only the face of the students from the other objects and then marking the students as present. The system is fed in advance with the images of all the students enrolled in the class. Using this data, the algorithm recognizes the students present and matches the features with the already stored images of the students in the database. It uses the image of a student and compares it with a dataset of images provided during registration. Then it identifies the students and marks their attendance. Also, the attendance report of the students is automatically generated and forwarded to the respective recipient.

Keyphrases: Facial Recognition, Haar Cascade, Local Binary Pattern Histogram, OpenCV, Tkinter.

@Booklet{EasyChair:7841,
  author = {Rahul Jadhav and Rupesh Padature and Sanchit Kulkarni and Padmanabh Kale and Mansi Bhonsle},
  title = {Face Recognition Based Attendance System},
  howpublished = {EasyChair Preprint no. 7841},

  year = {EasyChair, 2022}}