This paper is published in Volume-8, Issue-1, 2022
Area
Computer Science
Author
Sheetal Rajendra Wagh, Kiran Chaudhari
Org/Univ
Marathwada Institute of Technology, Aurangabad, Maharashtra, India
Keywords
DLIB, HOG, Face Recognition, Landmark, Detection
Citations
IEEE
Sheetal Rajendra Wagh, Kiran Chaudhari. Face recognition-based student’s attendance system using DLIB, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sheetal Rajendra Wagh, Kiran Chaudhari (2022). Face recognition-based student’s attendance system using DLIB. International Journal of Advance Research, Ideas and Innovations in Technology, 8(1) www.IJARIIT.com.
MLA
Sheetal Rajendra Wagh, Kiran Chaudhari. "Face recognition-based student’s attendance system using DLIB." International Journal of Advance Research, Ideas and Innovations in Technology 8.1 (2022). www.IJARIIT.com.
Sheetal Rajendra Wagh, Kiran Chaudhari. Face recognition-based student’s attendance system using DLIB, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sheetal Rajendra Wagh, Kiran Chaudhari (2022). Face recognition-based student’s attendance system using DLIB. International Journal of Advance Research, Ideas and Innovations in Technology, 8(1) www.IJARIIT.com.
MLA
Sheetal Rajendra Wagh, Kiran Chaudhari. "Face recognition-based student’s attendance system using DLIB." International Journal of Advance Research, Ideas and Innovations in Technology 8.1 (2022). www.IJARIIT.com.
Abstract
Daily attendance tracking is an integral part of any organization’s day-to-day activity. It is also very important to have the records with the ease of maintaining them. Roll call method is considered as time taking and it also has any possibility of proxy marking. The proposed work speaks about the implementation of an attendance system by using face recognition. The Marked attendance is stored in a database and can be considered for future purposes. At the time of marking attendance, this system will automatically take the pictures and apply implemented algorithm to Mark the correct attendance. The attendance is marked in the form of name, date, and time. Histogram of oriented gradient method is implemented for the detection and facial landmark estimation is implemented for computation and comparison of the students the implementation is done on a real-time basis.