Automatic Attendance Marking System Using Face Recognition

Authors(3) :-R. Mangai Begum, F. Anthony Vetri Vendhan, P. Edwin William

Face Recognition as it is often referred to as, analyses characteristics of a person's face image input through a camera. Facial recognition or face recognition as it is often referred to as, analyses characteristics of a person's face image input through a camera. Verification or identification can be accomplished from two feet away or more, without requiring the user to wait for long periods of time or do anything more than look at the camera. Traditionally staff attendance is taken manually by using attendance sheet, given by the college member in class. The Current attendance marking methods are monotonous & time consuming. Manually recorded attendance can be easily manipulated. Hence the project is proposed to tackle all these issues. The proposed system consists of a high resolution digital camera put on gate to monitor the office room. The data or images obtained by the camera are sent to a computer programmed system for further Analysis. The obtained images are then compared with a set of reference images of each of the staff & salary the corresponding attendance. The camera module can be a wireless or wired system.

Authors and Affiliations

R. Mangai Begum
Assitant Professor, Department of Information Technology St. Joseph’s College, Trichy, Tamil Nadu, India
F. Anthony Vetri Vendhan
MSc Computer Science Department of Information Technology St.Joseph’s College, Trichy, Tamil Nadu, India
P. Edwin William

Image processing, Face recognition, Microcontroller, and Camera

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1124-1127
Manuscript Number : CSEIT1833359
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

R. Mangai Begum, F. Anthony Vetri Vendhan, P. Edwin William, "Automatic Attendance Marking System Using Face Recognition", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1124-1127, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833359

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