Real Time Face Recognition Based Attendance Monitoring System

Abstract

The conventional method of taking attendance system is time taking and requires more efforts.The number of students expanding day-by-day, so it has become an impeachable task for the institutes or colleges to maintain the attendance record of the students.The chances of error and proxy in the traditional system of the attendance system are considerably high.The available automated system in the market is biometric-based which used fingerprints or Iris recognition.However, these automated attendance systems are not completely efficient and those which are efficient are not cost effective.To overcome these problems, we are presenting this paper for the real-time face recognition-based attendance monitoring system.We are using the biometric features like face recognition which includes several phases such as Image acquisition by the source camera, detection of the human face using Viola-Jones Algorithm, feature extraction using HOG features, and the classification of the face using KNN classifier, recognition of face and finally attendance marking.