ARCHIVES
Research Article
Smart Attendance System Based on Face Recognition
Prathyusha Mitte1
Thota Avinash2
Siripuram Arun Kumar3
123 Computer Science and Engineering, CMR Technical Campus, Telangana, India
Published Online: July-August 2022
Pages: 19-23
Cite this article
No DOIReferences
[1] Shubhobrata Bhattacharya, Gowtham Sandeep Nainala, Prosenjit Das and Aurobinda Routray, “Smart Attendance Monitoring
System : A Face Recognition based Attendance System for Classroom Environment”, 2018 IEEE 18th International Conference on
Advanced Learning Technologies, pages 358- 360,2018.Gritsenko, Elena. (2019).
[2] Arun Katara, Mr. Sudesh, V.Kolhe,” Attendance System using Face Recognition and Class Monitoring System”, IJRITCC, Volume:
5,Issues: 2 ,February 2017M. Marimuthu, M. abinaya, K S Hariesh, K Madhankumar, V Pavithra. A review on heart disease
prediction using machine learning and data analytics approach.
[3] Jaymin Patel, Prof. Tejpal Upadhyay and Dr. Samir Patel. Heart disease prediction using machinelearning techniques.
[4] Jomon Joseph1, K. P. Zacharia, “Automatic Attendance Management System Using Face Recognition”, International Journal of
Science and Research (IJSR).
[5] Ahonen, Timo, Abdenour Hadid, and Matti Pietikainen. “Face description with local binary patterns: Application to face
recognition.” IEEE transactions on pattern analysis and machine intelligence 28.12 (2006): 2037–2041.
[6] https://www.researchgate.net/publication/355028585_A_Real_time_Face_Recognition_Smart_Attendance_System_with_Haar_Casc
ade_Classifiers https://www.analyticsvidhya.com/blog/2021/11/build-face-recognition-attendancesystem-using-python/
System : A Face Recognition based Attendance System for Classroom Environment”, 2018 IEEE 18th International Conference on
Advanced Learning Technologies, pages 358- 360,2018.Gritsenko, Elena. (2019).
[2] Arun Katara, Mr. Sudesh, V.Kolhe,” Attendance System using Face Recognition and Class Monitoring System”, IJRITCC, Volume:
5,Issues: 2 ,February 2017M. Marimuthu, M. abinaya, K S Hariesh, K Madhankumar, V Pavithra. A review on heart disease
prediction using machine learning and data analytics approach.
[3] Jaymin Patel, Prof. Tejpal Upadhyay and Dr. Samir Patel. Heart disease prediction using machinelearning techniques.
[4] Jomon Joseph1, K. P. Zacharia, “Automatic Attendance Management System Using Face Recognition”, International Journal of
Science and Research (IJSR).
[5] Ahonen, Timo, Abdenour Hadid, and Matti Pietikainen. “Face description with local binary patterns: Application to face
recognition.” IEEE transactions on pattern analysis and machine intelligence 28.12 (2006): 2037–2041.
[6] https://www.researchgate.net/publication/355028585_A_Real_time_Face_Recognition_Smart_Attendance_System_with_Haar_Casc
ade_Classifiers https://www.analyticsvidhya.com/blog/2021/11/build-face-recognition-attendancesystem-using-python/
Related Articles
2022
A Review on Bamboo Reinforced Concrete Beam
2022
FARMERS AGRICULTURAL PORTAL
2022
Sentiment Analysis of Religious Tweets
2022
Enhancement of beam strength by using bamboo as reinforcement in place of steel bars
2022
A Review on Anomaly Detection using PYOD Package
2022
