Face Recognition in E-Attendance System

Abstract

I offer a theoretical explanation for the neurological, perceptual, and cognitive variations that are discernible in the individuation of faces and the categorisation of objects at the entry- and subordinate-levels. After providing an overview of the general theory, we go over some of the behavioral and neural phenomena that can be used to compare face recognition to object recognition. We then present a neurocomputational account of these differences, paying particular attention to the perceptual representation of faces. Finally, we describe and test a few original experiments that test a key assumption of this account. We must choose what we need and figure out how to apply it to our projects from among the items currently included in the Programming OpenCV concept. I want to change the traditional attendant system, like school, college and universities, and also the corporate office here has a lot of employees. So that needed a lot of time using the traditional attendance system, I believed my system took a little time to be there attendant. Specially, it identify the people who are not able to be in the database or unauthorized people, this unknown people can theft in the office, and it can protect against theft.