SMART ATTENDANCE SYSTEM USING FACE DETECTION TECHNIQUES

Abstract

this paper is about the smart attendance management system using face detection techniques. Daily attendance
marking is a common and important activity in schools and colleges for checking the performance of students. Manual
Attendance maintaining is difficult process, especially for large group of students. Some automated systems developed to
overcome these difficulties, have drawbacks like cost, fake attendance, accuracy, intrusiveness. To overcome these
drawbacks, there is need of smart and automated attendance system. We are implementing attendance system using face
recognition. Since face is unique identity of person, the issue of fake attendance and proxies can be solved. The system uses
local binary pattern face recognition technique as it is fast, simple and has greater success rate. Also, it has pro-vision to
deal with intensity of light problem and head pose problem which makes it effective. This smart system can be an effective
way to maintain the An will-less squatter recognition system is proposed based on appearance-based features that focus on
the unshortened squatter image rather than local facial features. The first step in squatter recognition system is squatter
detection Viola-Jones squatter detection method that capable of processing images extremely while achieving upper
detection rates is used. The whole squatter recognition process can be divided into two parts squatter detection and squatter
identification. For face detection part, Viola Jones face detection method has been used out of several face detection
methods. After face detection, face is cropped from the actual image to remove the background. Eigen faces and fisher faces
methods have been used for face identification part. Average images of subjects have been used as training set to improve the
accuracy of identification.