SCRS Conference Proceedings on Intelligent Systems
Automated Attendance System with Facial Recognition Using Python
Authors: Abhi Chauhan, Shashwat Pandey and Shikha Bathla
Publishing Date: 11-10-2021
ISBN: 978-93-91842-08-6
Abstract
Face recognition is among the most productive image processing applications and has a pivotal role in the technical field. Recognition of the human face is an active issue for authentication purposes specifically in the context of attendance of students. Attendance system using face recognition is a procedure of recognizing students by using face biostatistics based on the high definition monitoring and other computer technologies. The development of this system is aimed to accomplish digitization of the traditional system of taking attendance by calling names and maintaining pen-paper records. Current attendance strategies are tedious and time-consuming. Attendance records can be easily manipulated by manual recording. The traditional process of making attendance and present biometric systems are vulnerable to proxies. This paper is therefore proposed to tackle all these problems.
Keywords
Python; Artificial Intelligence; Haar Cascades; Local Binary Pattern Histogram (LBPH)
Cite as
Abhi Chauhan, Shashwat Pandey and Shikha Bathla, "Automated Attendance System with Facial Recognition Using Python", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2021, pp. 123-131. https://doi.org/10.52458/978-93-91842-08-6-10