STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Facial Recognition Based Attendance System

  1. Shubham Rewari
  2. Apurv Shaha
  3. Sankaradithyan Gunasekharan

Abstract

In today’s fast paced world, for an organization with around 500 employees, a manual attendance system is highly inefficient and time consuming. Traditional methods of automatic attendance systems like fingerprint, RFID or iris scans are easy to bypass, as the biometric features, such systems take into consideration are far less than facial features. Our facial recognition system is used to detect a person’s face and then compare it with the stored facial database to recognize it. Once the face is recognized, his attendance is marked, along with his in-time and out-time, and stored in a database. This paper proposes a system which uses Haar cascade method for facial detection integrated with principal component analysis (PCA) technology for facial recognition. This whole process is carried out on a raspberry Pi B+ module using OpenCV (Open Source Computer Vision) library installed on it. The attendance database is created in MySQL which keeps a record of employee’s in-time and out-time. Proposed biometric face recognition system is basically used in three domains: employee management, leave management, time attendance system and last but not the least, it can be used as authorization and access control system. Cite this Article:Shubham Rewari, Apurv Shaha, Sankaradithyan Gunasekharan. Facial Recognition Based Attendance System. Journal of Image Processing & Pattern Recognition Progress. 2016; 3(2):     43–49p.

Keywords

Support