Face Recognition Based Attendance System Using Machine Learning

Abstract

The identification of person from the facial features is referred as face recognition.Automatic face recognition (AFR) technologies have seen dramatic improvements in performance over the past years, and such systems are now widely used for security and commercial applications. An automated system for human face recognition in a real time background which can be useful for a college to mark the attendance of their students . So using Real Time Face Recognition is a real world solution which comes with day to day activities of handling various activities. The task is very difficult as the real time background subtraction in an image is still a challenge . To detect real time human face are used and a simple fast Principal Component Analysis has used to recognize the faces detected with a high accuracy rate. The matched face is used to detect accurate user .Our system maintains the collection of user facial features as datasets and use them for verification.