Control and Security System for Classroom Access Based on Facial Recognition

Abstract

This work presents a facial recognition system based on spectral analysis. With this system, it is possible to provide greater security of access to a classroom, avoiding irregularities, such as falsified signatures on the presence sheet, or use of adulterated identities. It applies an image recognition process in which it seeks to extract relevant information from an image, then encode and compare it with other facial data stored in an image database. This information of the images represents a set of characteristics that present the variations between the images of the faces collected by the system and those contained in the image database. The Facial Recognition System is composed of two processing modules: training and recognition. It was applied in a high school classroom to evaluate the usefulness and accuracy of these algorithms for people recognition.