Online Attendance Management System Using Face Recognition Techniques

Main Article Content

Sai Vamshi Challamalla
Tarun Chandra Manepally
Sai Yaswanth Reddy Legala
K Venkatesh Sharma


Attendance is an important issue for every school and college because it is the primary way to monitor each student's regularity. Currently, attendance in schools and colleges is tracked using an attendance sheet, a time-consuming process that necessitates the storage of data files. We can also do other things within the allotted time for attendance. Using both simultaneously may allow the student to obtain additional information from the instructor. Keeping track of students' attendance during lecture periods has become difficult. Furthermore, because attendance is manually recorded, it is easily manipulated. It is also difficult to verify every student in the class. The standard attendance method is computerized, which provides the foundation for developing an automatic attendance management system. This system can be used to automate existing techniques and methodologies. The attendance monitoring system has simplified management's lives by making attendance marking a breeze. Face detection and image recognition are critical in various applications, including the Attendance Management System. This system detects human faces using a camera and algorithms to detect images. Captured images, face detection, database development, preprocessing, and feature extraction are used to create an automated attendance system. This type of system is applicable in any academic context.

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How to Cite
Sai Vamshi Challamalla, Tarun Chandra Manepally, Sai Yaswanth Reddy Legala, and K Venkatesh Sharma, “Online Attendance Management System Using Face Recognition Techniques”, Int. J. Comput. Eng. Res. Trends, vol. 9, no. 8, pp. 158–169, Aug. 2022.
Research Articles


Reid, K. (2010). Management of School Attendance in the UK. Educational Management Administration & Leadership, 38(1), 88–106.

R.S., D. (2020). Attendance Authentication System Using Face Recognition. Journal of Advanced Research in Dynamical and Control Systems, 12(SP4), 1235–1248.

Panditpautra, V., Goswami, A., Khavare, A., & Ambadekar, S. (2019). Biometric Attendance Management System Using Raspberry Pi. SSRN Electronic Journal. Published.

Sharma, D., & Ashok, D. (2012). An Empirical Analysis Over the Four Different Feature-Based Face and Iris Biometric Recognition Techniques. International Journal of Advanced Computer Science and Applications,


Kulkarni, P., Patil, Y., Dagade, A., & Kapse, A. (2020). Finger Print Based Attendance System Using Arduino. SSRN Electronic Journal. Published.

Qureshi, R. (2020). The Proposed Implementation of RFID based Attendance System. International Journal of Software Engineering & Applications, 11(3), 59–69.

Shah, D. (2020). Quick Response (QR) Code based Attendance Marking System. International Journal of Computer Applications, 177(33), 43–47.

Gaikwad, P., Narule, S., Thakre, N., & Chandekar, P.

(2017). RFID Technology Based Attendance Management System. International Journal Of Engineering And Computer Science. Published.

History Of Time And Attendance Systems | Blog. (2011, August 26). Redcort.

Tu, Y. J., Zhou, W., & Piramuthu, S. (2021). Critical risk considerations in auto-ID security: Barcode vs. RFID. Decision Support Systems, 142, 113471.

Shukla, S. (2013). RFID based Attendance Management System. International Journal of Electrical and Computer Engineering (IJECE), 3(6).