Automated Attendance System Using Image Processing

In today's era of technology aidedworld, image processing is gaining immense importance towards digital world. Now a days, the field of image processing has wide range applications in biometric recognition, behavioral analysis, teleconferencing and video surveillance. This paper typically puts forward idea of using image processing techniques such as detection and recognition of faces to design the system that can automatically handle the attendance of the students. Various factors that act as challenges in face recognition are illumination, orientation, size, clarity, expression and intensity of facial images. With the help of training dataset, system is trained to detect the figures representing faces (positive images) and distinguish it from background (negative images) environment. The aim is to develop the automated system for detection and recognition of faces using their images from videos and recording the attendance of the students by identifying him/her from their variant facial features. This helps to maintain and handle the attendance system automatically without any human intervention. This new system can ease the hectic attendance maintenance and handling the attendance will be more precise and efficient. The proposed system contributes to human face detection with the help of Viola Jones algorithm and face recognition with Fisher Face algorithm and achieves accuracy of 45% to 50%.