Efficient Face Identification and Authentication Tool for Biometric Attendance System

Digitalization has been on the rise in the professional, educational, commercial, financial, and basically every major relevant field of the world for much of this century. As every institution race towards ensuring an online presence and accessibility, people have become reliant on digital utilities, sometimes more so than their physical versions. Among the many facilities that are being digitalized, one of them is very relevant to students, employees and organizations which handle mass numbers of people, the attendance system. This is one facility that is still plagued by many errors and loopholes despite its recent development. There is a lack of a secure, robust, userfriendly, automated, and live attendance collection system. This research paper aims to capitalize on this problem and provide a possible solution that addresses these issues.Method: Face recognition system is one such model, which is used to detect real-time human faces. These are used to look for front and side-looking faces and detect them using some technique. They are functioned on the basis of different algorithms. One such algorithm is the LBPH algorithm which this research paper will be talking about. It was earlier used only for text-recognition. But with time, it has evolved and now is able to detect faces with the help of some linking algorithms.Results: This research paper helped us to get an overview on how face recognition system which is in every way a robust, secure and contact-less system can be made. Also, how LBPH algorithm best suits in making such model can be seen through this paper.