• S. V. Sai Prasad
• Y. Priyanka

A facial recognition attendance system uses facial recognition technology to identify and verify a person using the person's facial features to automatically mark the attendance. Face recognition based systems can be used for different groups of people such as employees, students, etc. These systems records and stores the image data of persons in real-time. In this digital era, face recognition system plays a vital role in almost every sector. Face recognition is one of the mostly used biometrics. It can be used for security, authentication, identification, and has got many more advantages. In the pandemic days also, face recognition plays a very important role as physical contact is avoided due to pandemic situations. In this paper, a smart attendance system is designed that aims to build a class attendance system which uses the concept of face recognition as existing manual attendance system is time consuming and it is not very easy to maintain. This system consists of four phases- database creation, face detection, face recognition, attendance updating. Database is created by the images of the students in class. Face detection and recognition is performed using HOG algorithm and linear SVM classifier is used.

Face recognition, Face detection, HOG Algorithm, Linear-SVM

"Design and Implementation of Face Recognition Based Smart Attendance System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.46-54, January-2019, Available :http://www.jetir.org/papers/JETIR1901I07.pdf

"Design and Implementation of Face Recognition Based Smart Attendance System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp46-54, January-2019, Available at : http://www.jetir.org/papers/JETIR1901I07.pdf