International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Smart Attendance System Using Feature Descriptors

Abstract

Advances in the information era provided various human authentication options such as fingerprint recognition, eye iris recognition, human face detection, and recognition. The Human face recognition technique is based on facial features detection and comparison with an existing features database. The proposed system uses face detection and recognition techniques for identifying the presence of many people at a time.

Country : India

1 Adarsh Saraswat2 Himani Shah3 Jimil Shah4 Aayushi Shah5 Archana Magare

  1. Student, Dept. of Computer Science & Engineering, Institute of Technology and Management Universe, Dhanora Tank Road, Near Jarod, Vadodara-391510, Gujarat, India
  2. Student, Dept. of Computer Science & Engineering, Institute of Technology and Management Universe, Dhanora Tank Road, Near Jarod, Vadodara-391510, Gujarat, India
  3. Student, Dept. of Computer Science & Engineering, Institute of Technology and Management Universe, Dhanora Tank Road, Near Jarod, Vadodara-391510, Gujarat, India
  4. Student, Dept. of Computer Science & Engineering, Institute of Technology and Management Universe, Dhanora Tank Road, Near Jarod, Vadodara-391510, Gujarat, India
  5. Asst. Professor, Dept. of Computer Science & Engineering, Institute of Technology and Management Universe, Dhanora Tank Road, Near Jarod, Vadodara-391510, Gujarat, India

IRJIET, Volume 5, Issue 7, July 2021 pp. 37-42

doi.org/10.47001/IRJIET/2021.507006

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References

  1. Divya James et al., “HOG – Neural Network     Based Student Attendance System”, International Journal of Computer Sciences and Engineering Open Access Research Paper Vol.-7, Issue-5, May 2019 E-ISSN: 2347-2693.
  2. Kehinde Sotonwa, Oluwashina Oyeniran, “facial recognition system:a shift in students attendance management”, Annals. Computer Science Series. 17 th Tome 1 st Fasc. – 2019.
  3. Norita Md Norwawi et al., “Intelligent Attendance System with Face Recognition using the Deep Convolutional Neural Network Method”, ICE-ELINVO 2020 Journal of Physics: Conference Series 1737 (2021) 012031 IOP Publishing doi:10.1088/1742-6596/1737/1/012031
  4. Eid Al Hajri, Farrukh Hafeez, Ameer Azhar N V, “Fully Automated Classroom Attendance System”, International Journal of Interactive Mobile Technologies (iJIM), August 2019.
  5. Smitha, Pavithra S Hegde, Afshin, “Face Recognition based Attendance Management System”, IJERT ISSN: 2278-0181 Vol. 9 Issue 05, May-2020.
  6. Serign ModouBah and FangMing, “An improved face recognition algorithm and its application in attendance management system”, Volume 5, March 2020.
  7. Pooja M. R et al., “Face Recognition based Attendance System”, IJERT, ISSN: 2278-0181, Vol. 9 Issue 06, June-2020.
  8. Minakshi Vharkate et al., “Automatic Attendance System Using Face Recognition Technique”, IJRTE, ISSN: 2277-3878, Volume-9 Issue-1, May 2020.
  9. Ashwin Raj, Aparna Raj and Imteyaz Ahmad, “Smart Attendance Monitoring System with Computer Vision Using IOT”, BIT Sindri, Dhanbad, Jharkhand, India, Publication 26 January 2021.
  10. H Tripathi et al., “smart attendance portal using facial recognition”, Advances and Applications in Mathematical Sciences Volume 20, Issue 3, January 2021, Pages 459-469, 2021, Mili Publications.
  11. Sakina and Sehrish Larik, “Face Recognition for Automated Attendance using HOG & Machine Learning”, NED University of Engineering and Technology Karachi, Pakistan.
  12. Priya Pasumarti and P. Purna Sekhar, “Classroom Attendance Using Face Detection and Raspberry-Pi”, (IRJET), e-ISSN: 2395-, p-ISSN: 2395-0072, 0056 Volume: 05 Issue: 03 | Mar-2018.
  13. Ms. Pranali Patil et al., “A Smart Attendance System Based On Face Recognition”, IRJET, e-ISSN: 2395-0056, p-ISSN: 2395-0072, Volume: 06 Issue: 03 | Mar 2019.
  14. Tata Sutabri, Pamungkur, Ade Kurniawan, and Raymond Erz Saragih, “Automatic Attendance System for University Student Using Face Recognition Based on Deep Learning”, International Journal of Machine Learning and Computing, Vol. 9, No. 5, October 2019.
  15. Dr.R.S. Sabeenian et al., “Smart Attendance System Using Face Recognition”, Jour of Adv Research in Dynamical & Control Systems, Vol. 12, 05-Special Issue, 2020.
  16. Aditya Deshmukh et al., “Attendance system using face recognition”, journal of critical reviews ISSN- 2394-5125 VOL 7, ISSUE 19, 2020.
  17. Nisha Mohan P M et al. ,” Face Recognition Based Attendance Management System Using Machine Learning”, May 2019 | IJIRT | Volume 5 Issue 12 | ISSN: 2349-6002.
  18. R. Kamble et al., “Attendance Monitoring using Face Recognition and Machine Learning”, International Journal of Future Generation Communication and Networking Vol. 13, No. 3s, (2020), pp. 94–102.
  19. Dulyawit Prangchumpol,” Face Recognition for Attendance Management System Using Multiple Sensors”, IOP Conf. Series: Journal of Physics: Conf. Series 1335 (2019) 012011.
  20. Shashank Reddy Boyapally and Supreethi K.P,” facial recognition and attendance system using dlib and face recognition libraries”, Volume:03/Issue:01/January-2021.
  21. Adam Geitgey, “Machine Learning is Fun! Part 4: Modern Face Recognition with Deep learning”, medium.com, july 24 2016.
  22. T. Bharath kumar et al., “Class Attendance Using Face Detection and Recognition with OPENCV”, IRJET, e-ISSN: 2395-0056, p-ISSN: 2395-0072, Volume: 06 Issue: 04 | Apr 2019.
  23. Asst. Prof. M. Pavan et al., “Real Time Attendance Marking System Using Face Recognition Approach”, International Journal of Scientific Research & Engineering Trends Volume 6, Issue 4, July-Aug-2020, ISSN (Online): 2395-566X.
  24. Dr. Shrija Madhu, Ms. Anusha Adapa, Ms. Visrutha Vatsavaya, Ms. Padmini Pothula, “Face recognition based attendance system using machine learning”, International Journal of Management, Technology and Engineering Volume IX, Issue III, MARCH/2019 ISSN NO: 2249-7455, March 2019.
  25. Pravin Gopalrao Sarpate, Ramesh R. Manza, “Face Recognition Using HOG and Different Classification Techniques”, International Journal for Research in Engineering Application & Management (IJREAM) ISSN: 2454-9150 Special Issue - NCRICE – 2019.

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