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A Review on Face Recognition Attendance System

by Shubhi Shriwastav, Dinesh Chandra Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 143 - Number 8
Year of Publication: 2016
Authors: Shubhi Shriwastav, Dinesh Chandra Jain
10.5120/ijca2016910081

Shubhi Shriwastav, Dinesh Chandra Jain . A Review on Face Recognition Attendance System. International Journal of Computer Applications. 143, 8 ( Jun 2016), 19-22. DOI=10.5120/ijca2016910081

@article{ 10.5120/ijca2016910081,
author = { Shubhi Shriwastav, Dinesh Chandra Jain },
title = { A Review on Face Recognition Attendance System },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 143 },
number = { 8 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume143/number8/25097-2016910081/ },
doi = { 10.5120/ijca2016910081 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:45:48.292235+05:30
%A Shubhi Shriwastav
%A Dinesh Chandra Jain
%T A Review on Face Recognition Attendance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 143
%N 8
%P 19-22
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we advise a method that takes the presence of students for classroom lecture. Our method takes the presence automatically using face recognition. However, it is complicated to calculate approximately the attendance exactly using each result of face detection independently because the face recognition rate is not sufficiently high. In this paper, we propose a process for estimate the presence precisely using all the results of face recognition obtained by Continuous inspection. Continuous inspection improves the performance for the estimation of the presence we Constructed the lecture presence system based on face recognition, and applied the system to classroom lecture. Face recognition technology has widely concerned concentration due to its huge application value and market potential, such as face recognition and video observation system. Real-time face detection not only is one part of the automatic face recognition system but also is increasing an independent research subject. So, there are lots of approaches to solve face detection. This paper describes the expansion of a student attendance system based on face recognition and authentication technology. MATLAB outline is used for implementation. The existing conventional presence system requires students to manually sign the sheet every time

References
  1. K.Senthamil Selvi, P.Chitrakala, A.Antony Jenitha, “Face recognition based Attendance marking system” IJCSMC, Vol. 3, Issue. 2, February 2014, pg.337 – 342
  2. Mr.C.S.Patil, Mr.R.R.Karhe, Mr.M.D.Jain, “Student Attendance Recording System Using Face Recognition with GSM Based” International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637
  3. Muhammad Fuzail, Hafiz Muhammad Fahad Nouman, Muhammad Omer Mushtaq, Binish Raza, Awais Tayyab, Muhammad Waqas Talib, “Face Detection System for Attendance of Class’ Students” International journal of multidisciplinary sciences and engineering, vol. 5, no. 4, April 2014
  4. Mathana Gopala Krishnan, Balaji, Shyam Babu, “Implementation of Automated Attendance System using Face Recognition” International Journal of Scientific & Engineering Research, Volume 6, Issue 3, March-2015
  5. S. B. Dabhade, Y. S. Rode, M. M. Kazi, R. R. Manza and K. V. Kale, “Face Recognition using Principle Component Analysis and Linear Discriminant Analysis Comparative Study” Responsibility of contents of the paper rest upon the author and not upon the publisher, Programme chair and AEMDS 2013
  6. Gatsheni, B.N., R.B. Kuriakose, and F. Aghdasi.Automating a student class attendance register using radio frequency identification in South Africa. in Mechatronics, ICM2007 4th IEEE International Conference on. 2007.
  7. Tokiwa, Y., K. Nonobe, and M. Iwatsuki. Web based tools to sustain the motivation of students indistance education. in Frontiers in Education Conference, 2009. FIE '09. 39th IEEE. 2009.
  8. Chuo-Ling Chang, Edward Li, Zhifei Wen, Rendering Novel Views of faces Using Disparity Estimation. Stanford EE368 Spring 2000/2001 Final Project.
  9. M.A. Turk, A.P. Pentland. “Face Recognition Using Eigenfaces,” IEEE Conference on Computer Vision and Pattern Recognition, pp.586--591, 1991.
  10. X. Li and S. Areibi, “A Hardware/Software Codesign Approach for Face Recognition,” Proc. 16th International Conference on Microelectronics, Tunis, Tunisia, Dec 2004.
  11. Visar Shehu, Agni Dika, “Using Real Time Computer Vision Algorithms in Automatic Attendance Management Systems” ITI 2010 32nd Int. Conf. on Information Technology Interfaces, June 21-24, 2010, Cavtat, Croatia.
  12. PAN Xiang, “Research and Implementation of Access Control System based on RFID and FNNFace, 2012 International Conference on Intelligent Systems Design and Engineering Application 12 2012 2012.400 Recognition”, 978-0-7695-4608-7/11 $26.00 © 2011 IEEE
Index Terms

Computer Science
Information Sciences

Keywords

Face recognition

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