Abstract
: In most educational institutions the student’s attendance is taken manually by using an attendance sheet,
given by the faculty member in a class. The Current attendance marking methods are monotonous and time consuming.
Manually recorded attendance can be easily tampered with. And it is also very difficult to actually verify the status of
each student in a classroom environment with distributed branches whether the students are actually responding or not.
Hence this paper is proposed to tackle these issues. Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely
used in many applications, such as video monitor systems, human-computer interaction and network security. Face
recognition technology is the least intrusive and one of the fastest biometric technologies invented so far. The accurate
recognition of a person is the sole aim of a face recognition system and this identification may be used for further
processing. The methods to exploit this physical feature have seen a great change since the advent of image processing
techniques. It measures overall facial structure, distances between eyes, nose, mouth, and jaw edges. Here, the camera
detects and recognizes the person based on these features. The proposed system will update the attendance once the
students face is matched with the template database.