Real Time Face Recognition System For Time and Attendance Applications
In this paper, we have proposed an automated Face Recognition System for Time and Attendance application.
The model is developed with the help of real time OpenCV library The proposed system comprised of using the Viola Jones
algorithm for detecting the human faces and then the detected face is resized to the required size, this resized face is further
processed by using linear stretch contrast enhancement and finally it is recognized using a simple PCA / LDA. Once
recognition is done, automatically attendance will be updated in an Excel Sheet along with his name,date and time. An html
file is automatically updated by our system so that a remote authenticated user can access the attendance file .Our system is
integrated to an Automatic Attendance Management System, with the help of which some post attendanceworks like stipend
amount calculation, viewing attendance report for the required date, calculating the number of hours a person is present in
the class, searching for a required person in the classroom etc. Spoofing which is a major threat for our system can be
avoided using Eye Blink Detector algorithm. Our system can automatically update the Database for the newly enrolled
persons. The proposed system can execute the instructions given orally to it (eliminating the need of a mouse interface) and
can speak back to us.