Attendance is a very important factor for much educational institutions. Taking attendance by calling out names or passing around an attendance sheet are both time-consuming, and especially the latter is open to easy fraud. As an alternative, RFID, wireless, fingerprint, and iris and face recognition-based methods have been tested and developed for this purpose. Although these methods have some pros, high system installation costs are the main disadvantage. The present paper aims to propose a face authentication-based classroom attendance management system needing no extra equipment. This process is implemented by using digital image processing (DIP).To this end, a filtering system based on Euclidean distances. An automated system for human face recognition in a real time background for a College/school to mark the attendance of their students. The test outcomes of the design are presented to validate the approach used in this work.