ARCHIVES
Research Article
Attendance Management System Using Face Recognition
G. Venkateshwari1
Vinithprem GS2
Mohammed Shanavas A3
Dhruvakumar BS4
Pandurangan R5
1Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu, India. 2345 Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu, India.
Published Online: May-August 2024
Pages: 100-104
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20240302013References
1. Kar, Nirmalya, et al. "Study of implementing automated attendance system using face recognition technique." International Journal of
computer and communication engineering 1.2 (2012): 100.
2. RoshanTharanga, J. G., et al. "Smart attendance using real time face recognition (smart-fr)." Department of Electronic and Computer
Engineering, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka (2013)
3. Selvi, K. Senthamil, P. Chitrakala, and A. Antony Jenitha. "Face recognitiona attendance monitoring system." Corresponding Author:
S. Rajkumar*, Email: Rajkumar Rajkumar@gamil. com (2014).
4. Joseph, Jomon, and K. P. Zacharia. "Automatic attendance management system using face recognition." International Journal of Science
and Research (IJSR) qwegvb,.’ 2.11 (2013): 327- 330.
5. Patil, Ajinkya, and Mrudang Shukla. "Implementation of classroom attendance system based on face recognition in the class."International
Journal of Advances in Engineering & Technology 7.3 (2014): 974.
6. Kanti, Jyotshana, and Shubha Sharm. “Mechanized Attendance utilizing Face Recognition dependent on PCA with Artificial Neural
Network." International journal of science and research IJSR (2012).
7. MuthuKalyani, K., and A. VeeraMuthu, "Smart application for AMS using face recognition." Computer Science & Engineering 3.5 (2013):
13.
8. Deshmukh, Badal J., and Sudhir M. Kharad. "Efficient Attendance Management: A Face Recognition Approach." (2014).
9. Wagh, Priyanka, et al. "Participation framework dependent on face acknowledgment utilizing eigen face and PCA calculations." 2015
International Conference on Green Computing and Internet of Things (ICGCIoT). IEEE, 2015.
10. Bhattacharya, Shubhobrata, et al. "Smart Attendance Monitoring System (SAMS): A Face Recognition Based Attendance System for
Classroom Environment." 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2018.
11. Samet, Refik, and Muhammed Tanriverdi. " Face acknowledgment based versatile programmed homeroom participation the executive’s
framework." 2017 International Conference on Cyberworlds (CW). IEEE, 2017.
12. Li, Xiang-Yu, and Zhen-Xian Lin. " Face acknowledgment dependent on HOG and quick PCA calculation." The Euro-China Conference on
Intelligent Data Analysis and Applications. Springer, Cham, 2017.Based face recognition attendance system." 2017 IEEE 15th International
Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2017.
13. Rekha, N., and M. Z. Kurian. "Face detection in real time based on HOG." International Journal ofAdvanced Research in Computer
Engineering & Technology (IJARCET) 3.4 (2014): 1345-1352.
14. Kwolek, Bogdan. " Face recognition utilizing convolutional neural systems and channels." International Conference on Artificial Neural
Networks. Springer, Berlin, Heidelberg, 2005." International Conference on Artificial Neural Networks. Springer, Berlin, Heidelberg, 2005.
15. Ashwini, C., et al. " An Efficient Attendance System Using Local Binary Pattern and Local Directional Pattern." Journal of Network
Communications Emerging Technologies (JNCET) www. jncet. organization 8.4 (2018).
16. Karnalim, Oscar, et al. "Face- face at study hall condition: Dataset and investigation." 2018 Eighth International Conference on Image
Processing Theory, Tools and Applications (IPTA). IEEE, 2018.
computer and communication engineering 1.2 (2012): 100.
2. RoshanTharanga, J. G., et al. "Smart attendance using real time face recognition (smart-fr)." Department of Electronic and Computer
Engineering, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka (2013)
3. Selvi, K. Senthamil, P. Chitrakala, and A. Antony Jenitha. "Face recognitiona attendance monitoring system." Corresponding Author:
S. Rajkumar*, Email: Rajkumar Rajkumar@gamil. com (2014).
4. Joseph, Jomon, and K. P. Zacharia. "Automatic attendance management system using face recognition." International Journal of Science
and Research (IJSR) qwegvb,.’ 2.11 (2013): 327- 330.
5. Patil, Ajinkya, and Mrudang Shukla. "Implementation of classroom attendance system based on face recognition in the class."International
Journal of Advances in Engineering & Technology 7.3 (2014): 974.
6. Kanti, Jyotshana, and Shubha Sharm. “Mechanized Attendance utilizing Face Recognition dependent on PCA with Artificial Neural
Network." International journal of science and research IJSR (2012).
7. MuthuKalyani, K., and A. VeeraMuthu, "Smart application for AMS using face recognition." Computer Science & Engineering 3.5 (2013):
13.
8. Deshmukh, Badal J., and Sudhir M. Kharad. "Efficient Attendance Management: A Face Recognition Approach." (2014).
9. Wagh, Priyanka, et al. "Participation framework dependent on face acknowledgment utilizing eigen face and PCA calculations." 2015
International Conference on Green Computing and Internet of Things (ICGCIoT). IEEE, 2015.
10. Bhattacharya, Shubhobrata, et al. "Smart Attendance Monitoring System (SAMS): A Face Recognition Based Attendance System for
Classroom Environment." 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2018.
11. Samet, Refik, and Muhammed Tanriverdi. " Face acknowledgment based versatile programmed homeroom participation the executive’s
framework." 2017 International Conference on Cyberworlds (CW). IEEE, 2017.
12. Li, Xiang-Yu, and Zhen-Xian Lin. " Face acknowledgment dependent on HOG and quick PCA calculation." The Euro-China Conference on
Intelligent Data Analysis and Applications. Springer, Cham, 2017.Based face recognition attendance system." 2017 IEEE 15th International
Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2017.
13. Rekha, N., and M. Z. Kurian. "Face detection in real time based on HOG." International Journal ofAdvanced Research in Computer
Engineering & Technology (IJARCET) 3.4 (2014): 1345-1352.
14. Kwolek, Bogdan. " Face recognition utilizing convolutional neural systems and channels." International Conference on Artificial Neural
Networks. Springer, Berlin, Heidelberg, 2005." International Conference on Artificial Neural Networks. Springer, Berlin, Heidelberg, 2005.
15. Ashwini, C., et al. " An Efficient Attendance System Using Local Binary Pattern and Local Directional Pattern." Journal of Network
Communications Emerging Technologies (JNCET) www. jncet. organization 8.4 (2018).
16. Karnalim, Oscar, et al. "Face- face at study hall condition: Dataset and investigation." 2018 Eighth International Conference on Image
Processing Theory, Tools and Applications (IPTA). IEEE, 2018.
Related Articles
2024
Revolutionizing User Interfaces: Exploring the Latest Trends in Front-End Development
2024
Website Development in Computer Science: Unveiling the Digital World
2024
Review on RSA Cryptography, Steganography and Compression Techniques for Data Security
2024
Stock Price Prediction Using LSTM
2024
Comparative Analysis of Program Execution Time Required by Python, R and Julia Compiler
2024