Artificial Inteligence Based Face Detection And Recognition For Automatic Attendance System

Authors(4) :-Deeksha M, Sana Seham, Geethanjali S, Tanuja K

A robust and reliable classroom attendance system using Artificial Intelligence, which is based on face detection and recognition is presented in this paper. Here input to the system is a live video and output is a consolidated with attendance of the students in the video. Automated attendance system can be implemented using various techniques of biometrics. Face recognition is one of them which do not involve human intervention. In this paper, attendance is registered from a live video of students. Students are identified by first performing Face Detection which separates faces from non- faces, and then Face Recognition is carried out which finds the match of the detected face from the face database (collection of student’s name and images). If it is a valid match then attendance is registered to a tailored database and further status will be forwarded to parents, in case if students have attendance shortage. Face recognition is performed and matched on the basis of the accuracy by detection and recognition using Principle Component Analysis (PCA) algorithm and Viola Jones algorithm.

Authors and Affiliations

Deeksha M
Student, Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for women, Mysore, India
Sana Seham
Student, Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for women, Mysore, India
Geethanjali S
Student, Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for women, Mysore, India
Tanuja K
Assistant Professor Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for women, Mysore, India

Face Recognition; PCA; ViolaJones; Face Detection; Video; Attendance Management; Image Processing; Passing Attendance Status;

  1. “Attendance Management System Using Hybrid Face Recognition Techniques” Surekha Borra Nazare Kanchan Jayant.
  2. “Prototype model for an Intelligent Attendance System based on facial Identification” Raj Malik, Praveen Kumar, Amit Verma, Seema Rawat.
  3. “An efficient automated attendance management system based on eigen face recognition”, Rekha.E, Dr.Ramaprasad.P.
  4. “RFID and Pose Invariant Face Verification Based Automated Classroom Attendance System”, Srivignessh Pss, Bhaskar.M.
  5. “Automated Attendance System using Machine Learning Approach”, Hemantkumar Rathod, Yudhisthir Ware, Snehal Sane, Suresh Raulo, Vishal Pakhare and Imdad A. Rizvi.
  6. “Automatic attendance management system using face detection”, E.Varadharajan,R.Dharani, S.Jeevitha, B.Kavinmathi, S.Hemalatha.
  7. “Automated Attendance Management System Based On Face Recognition Algorithms”, Shireesha Chintalapati, M.V. Raghunadh.
  8. “FaceTime – Deep Learning Based Face Recognition Attendance System”,Marko Arsenovic, Srdjan Sladojevic, Andras Anderla, Darko Stefanovic.
  9. “Visual System for Student Attendance Monitoring with Non-standard Situation Detection”, O. Kainz, D. Cymbal?k, J. L?mer and F. Jakab.
  10. “University Classroom Attendance Based on Deep Learning”, Rong Fu, Dan Wang, Dongxing Li, Zuying Luo.
  11. “An Automated Classroom Attendance System Using Video Based Face Recognition”, Anshun Raghuwanshi,Dr. Preeti D Swami.
  12. “A Feedback Estimation Approach for Therapeutic Facial Training”,Cornelia Dittmar, Joachim Denzler and Horst-Michael Gross.
  13. “An automated attendance system using video surveillance camera”,Nilesh D. Veer, B. F. Momin.
  14. “Attention-Based Template Adaptation for Face Verification”, Bin Dong, Zhanfu an, Jian Lin and Weihong Deng.
  15. “Using Real Time Computer Vision Algorithms in Automatic Attendance Management Systems”, Visar Shehu, Agni Dika.
  16. “Research and implementation of Access Control System based on RFID and FNN Face Recognition”, PAN Xiang.
  17. “Biometrics Based Attendance Checking using Principal Component Analysis”, Jennifer C. Dela Cruz, Allan Jake D. Flores, Earl Vic B. Hurna.
  18. “Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features”, Xiang Xu and Ioannis A. Kakadiaris.
  19. “A review on Face Detection and study of Viola Jones method”, Monali Chaudhari, Shanta sondur, Gauresh Vanjare.
  20. “Face Recognition Using PCA and Geometric Approach”, Navya Sushma Tummala, PNRL Chandra Sekhar.
  21. “Face Recognition using Principal Component Analysis and RBF Neural Networks”, S. Thakur, J. K. Sing, D. K. Basu, M. Nasipuri, M. Kundu.
  22. “Feature Based Face Recognition Using Slopes”, Isra Anwar, Shah Nawaz, Ghulam Kibria, Syed Farooq Ali, Malik Tahir Hassan and Jeong-Bae Kim.
  23. “Face Detection and Facial Feature Extraction Based on a Fusion of Knowledge Based Method and Morphological Image Processing”, Devadethan. S, Geevarghese Titus, Purushothaman S.
  24. “Face Recognition Using Appearance Based Approach: A Literature Survey”, M. Parisa Beham, S. Mohamed Mansoor Roomi.
  25. “Partial Face Recognition Based on Template Matching”, Soodeh Nikan, Majid Ahmadi.

Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 463-468
Manuscript Number : CSEIT184687
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Deeksha M, Sana Seham,Geethanjali S, Tanuja K, "Artificial Inteligence Based Face Detection And Recognition For Automatic Attendance System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.463-468, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT184687

Article Preview

Follow Us

Contact Us