Project Overview
Face recognition system is a complex image-processing problem in real world applications with complex effects of illumination, occlusion, and imaging condition on the live images. It is a combination of face detection and recognization techniques in image analyzes. Detection application is used to find position of the faces in a given image. Recognization algorithm is used to classify given images with known structured properties, which are used commonly in most of the computer vision applications. Recognization applications use standard images, and detection algorithms detect the faces and extract face images which include eyes, eyebrows, nose, and mouth. That makes the algorithm more complicated than single detection or recognization algorithm.
Face recognition is among the most productive image processing applications and has a pivotal role in the technical field. Recognization 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. Present strategies for taking attendance 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 project is therefore proposed to tackle all these problems.