Student Attendance Monitoring System Using Image Processing

Abstract

Attendance is a mandatory regularity of each organization. Manual attendance marking may be a troublesome, and time overwhelming work. It's vulnerable to error and manipulation to be happed. This system provides an economical and good methodology for marking attendance. Face recognition is an identification of human by distinctive feature of their faces. It works with most blatant individual identifier of the face. Student attendance observation system is an automatic methodology for distinctive supportive student from advanced picture or video frame. Group of student image is captured and also the recognized on an individual basis. Once the recognition done faces match with the training information set we have a tendency to already train. If the any face isn't within the digital video or frames, then it denote the scholar not present within the class room and also the status of the student absent send to the server admin to an organization. The images are going to be captured by the web camera and also the recognition algorithmic program to be used here Haar cascade algorithm from viola-jones. the student attendance reporting system is to enhance existing comes with some advanced feature like, real time information, quick computing through less hardware value and high economical.