Open AccessEfficient Attendance Management System Based on Facial Recognition
Author(s) -
Setu Choudhary,
Aayush Kakaji,
Kusuma Pranay,
Pooja Prabhu
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.12.16180
Subject(s) - attendance , computer science , facial recognition system , artificial intelligence , support vector machine , machine learning , face (sociological concept) , pattern recognition (psychology) , social science , sociology , economics , economic growth
A Face recognition system is an application of computer vision which is capable of performing two major tasks identifying and verifying a person from given data base. The objective of this paper is to design an effective attendance system which is based on facial recognition and intend to reduce the manual efforts of the teacher. In the conventional attendance system there are several issue like fake attendance, time consumption, manipulation of attendance. The algorithm used is named fisher face algorithm, which is already in use but it gives an accuracy of 5-6% and the amount of faces it can detect is comparatively less, Here we intend to use fisher face algorithm with the help of support vector machine(SVM). The system is trained with database faces. The data gets updated in the portal which is accessed by the faculty and the students. This paper is a speculative model of attendance management system using facial recognition.