Author(s):
Badri Narayan Mohapatra, Joel Dsouza, Yash Sangoiy, Nisarg Shah
Email(s):
badri1.mohapatra@gmail.com
DOI:
10.5958/2231-3915.2018.00001.9 
Address:
Badri Narayan Mohapatra1*, Joel Dsouza2, Yash Sangoiy2, Nisarg Shah2
1Department of Electronics and Telecommunication Engineering, Mumbai, India.
2Sardar Patel Institute of Technology, Mumbai-400058, India.
*Corresponding Author
Published In:
Volume - 8,
Issue - 1,
Year - 2018
ABSTRACT:
We can identify a person uniquely through his/her face. This physical feature can be used to develop a smart attendance system. Attendance management has become an essential part of an institution/college. However, it becomes tedious to manually mark the attendance and keep a track of students marking a proxy attendance for their friends. In order to increase the efficiency and security as well as to save time, we devised a smart attendance system. We intend to achieve this by using face recognition technology. We would store the images of every student in a database and then compare these images with the real-time frames detected from a video camera. In our work, we have implemented various algorithms such as Local Binary Pattern Histogram (LBPH), Eigenfaces and Fisherfaces for the purpose of face recognition in Attendance management.
Cite this article:
Badri Narayan Mohapatra, Joel Dsouza, Yash Sangoiy, Nisarg Shah. Smart Attendance System using Real Time Face Recognition. Int. J. Tech. 2018; 8(1): 01-05 doi: 10.5958/2231-3915.2018.00001.9
Cite(Electronic):
Badri Narayan Mohapatra, Joel Dsouza, Yash Sangoiy, Nisarg Shah. Smart Attendance System using Real Time Face Recognition. Int. J. Tech. 2018; 8(1): 01-05 doi: 10.5958/2231-3915.2018.00001.9 Available on: https://www.ijtonline.com/AbstractView.aspx?PID=2018-8-1-1