Face Detection and Recognition for Automatic Attendance System

Authors

  • Mangesh Kale Department of Computer Engineering, Pune University, Pune, India
  • Nidhi Nawale Department of Computer Engineering, Pune University, Pune, India
  • Sandhya Chandane Department of Computer Engineering, Pune University, Pune, India
  • Ankita Chavhan Department of Computer Engineering, Pune University, Pune, India

Keywords:

LBPH, OpenCV, Camera, Attendance, Face recognition, Face detection

Abstract

Student attendance structure is define to manage the student class attendance using the face detection and recognition through openCV (open computer vision). The major reason of developing this system is to improve the performance of the attendance system procedure besides reducing the time load and manual work. This project is completely based on general purpose language named as “Python” through which we use the concept of computer vision. For face detection system we use the haar cascade and for face recognition we use the LBPH algorithm. The training of individual student happened and finally the system generates the spreadsheet which provides the number of students present in classroom with an image capturing.

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Published

2021-04-24

How to Cite

[1]
M. Kale, N. Nawale, S. Chandane, and A. Chavhan, “Face Detection and Recognition for Automatic Attendance System”, IJRAMT, vol. 2, no. 4, pp. 104–107, Apr. 2021.

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Articles