Webcam Based Computerized Attendance System using Face Recognition Algorithms
A Madhu Sudhan1, Sudhir Kumar. Sharma2
1A Madhusudhan, Asst Professor, Department of Electronics and Communication Engg, CVSR College Of Engineering, Ghatkesar, Hyderabad, Telangana, India.
2Prof. (Dr.) Sudhir Kumar.Sharma, Head Of The Department Of Ece, Jaipur National University, Jaipur, , India
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 859-863 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5329029320/2020©BEIESP | DOI: 10.35940/ijeat.C5329.029320
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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: An automated executive participation process, which relies on face recognition and identification measurements, identifies the understudy as it joins the classes and marks the participation by marking it Particular on going circumstances are considered for evaluating the performance of various face recognition systems. This paper provides other than the methods to be used to deal with hazards such as caricature. At the moment, which stands out from traditional engagement, this programs spares time and also Monitor the students
Keywords: Face Recognition, LBP, SVM.