Face Recognition Based Attendance Management System using DLIB
Chaitanya Krishna VB1, Bhaskar Reddy PV2, Chethan Kumar A3, Salman Ahmed4, Sampath M5
1Chaitanya Krishna VB, School of C&IT, REVA University, India.
2Bhaskar Reddy PV, School of C&IT, REVA University, India.
3Chethan Kumar A, School of C&IT, REVA University, India.
4Salman Ahmed, School of C&IT, REVA University, India.
5Sampath M, School of C&IT, REVA University, India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 57-61 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10120585S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Real time face recognition technology has become a prominent tool for addressing solutions to many complex problems. Such as identification and the verification of identity. Face recognition technology also addresses the time consumption issue that arises in other biometric systems. Taking Attendances manually is always a monotonous job and it additionally consumes heap of our time. The prevailing biometric attendances wastes a great deal of our time and these systems can be cheated easily. In our proposed system the attendance is recorded by using a camera that is attached in front of classroom which is continuously recording but the system will never store any recorded files. And the features obtained from the detected images are compared with the features stored in the database and the system mark’s the attendance. This paper aims at automating the whole process and implementing a system that can’t be cheated. The entire system is built by using a machine learning tool called DLIB.
Keywords: DLIB, Biometric, Attendance, Face Recognition.
Scope of the Article: Pattern Recognition