Face Recognition System for Attendance Marking
S.Rinesh1, B.Hemanth Kumar Reddy2, Y.Jagadesh3, V.Parthipan4, S.Magesh Kumar5
1Dr.S.Rinesh, Department of CSE, Saveetha School of Engineering, Chennai, India.
2B.Hemanth Kumar Reddy, Department of CSE, Saveetha School of Engineering, Chennai, India.
3Y.Jagadesh, Department of CSE, Saveetha School of Engineering, Chennai, India.
4Mr.V.Parthipan , Department of CSE, Saveetha School of Engineering, Chennai, India.
5Dr. S.Magesh Kumar , Department of CSE, Saveetha School of Engineering, Chennai, India.
Manuscript received on 02 August 2019. | Revised Manuscript received on 08 August 2019. | Manuscript published on 30 September 2019. | PP: 5822-5826 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5275098319/2019©BEIESP | DOI: 10.35940/ijrte.C5275.098319
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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: The executives of the participation can be a diligent work on the instructors/representatives in the event that it is finished by hand. To take care of this issue, keen and auto participation the executives framework is being utilized. This paper shows a model of a mechanized participation framework to lighten the manual exertion of chronicle information taking out the odds of fraudulency which spotlight on face acknowledgment with credentials recognize the approved understudies/workers and includes as they enter and go out from the class-room. Savvy Attendance System Maintains and keeps the true record of each enrolled understudy and workers. In addition, this savvy framework keeps the information of each understudy/representatives enrolled for a specific course/work in the participation log and gives vital data as indicated by the need. By perceiving the substance of the individual and checked by face acknowledgment calculation all the while in our task, the constraints in the current manual participation framework are for the most part dispensed with. Another additional element to the venture is that we are sparing vitality by actualizing a framework utilizing IR modules where the room’s hardware possibly turn on when there are individuals inside.
Keywords: Image Processing, Facial Recognition, Class Attendance, Employee Attendance.
Scope of the Article: Image Processing and Pattern Recognition