Research Article
Smart Attendance Management System Using Face Recognition
@ARTICLE{10.4108/eai.13-7-2018.159713, author={Kaneez Laila Bhatti and Laraib Mughal and Faheem Yar Khuhawar and Sheeraz Ahmed Memon}, title={Smart Attendance Management System Using Face Recognition}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={5}, number={17}, publisher={EAI}, journal_a={CT}, year={2018}, month={10}, keywords={Deep learning, python, Image Processing, Face_Recognition, Electron JS, HOG}, doi={10.4108/eai.13-7-2018.159713} }
- Kaneez Laila Bhatti
Laraib Mughal
Faheem Yar Khuhawar
Sheeraz Ahmed Memon
Year: 2018
Smart Attendance Management System Using Face Recognition
CT
EAI
DOI: 10.4108/eai.13-7-2018.159713
Abstract
To maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The following system is based on face recognition to maintain the attendance record of students. The daily attendance of students is recorded subject wise which is stored already by the administrator. As the time for corresponding subject arrives the system automatically starts taking snaps and then apply face detection and recognition technique to the given image and the recognize students are marked as present and their attendance update with corresponding time and subject id. We have used deep learning techniques to develop this system, histogram of oriented gradient method is used to detect faces in images and deep learning method is used to compute and compare feature facial of students to recognize them. Our system is capable to identify multiple faces in real time.
Copyright © 2018 Kaneez Laila Bhatti et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.