IJIRST –International Journal for Innovative Research in Science & Technology| Volume 1 | Issue 11 | April 2015 ISSN (online): 2349-6010 All rights reserved by www.ijirst.org 55 Attendance Management System using Face Recognition Rohit Chavan Baburao Phad Department of Computer Engineering Department of Computer Engineering Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai University, India Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai University, India Sankalp Sawant Vinayak Futak Department of Computer Engineering Department of Computer Engineering Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai University, India Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai University, India Asha Rawat Department of Computer Engineering Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai University, India Abstract Face recognition is the identification of humans by the unique characteristics of their Faces. Face recognition technology is the least intrusive and fastest bio-metric technology. It works with the most obvious individual identifier the human face.This research aims at providing a system to automatically record the students’ attendance during lecture hours in a hall or room usi ng facial recognition technology instead of the traditional manual methods. The objective behind this research is to thoroughly study the field if pattern recognition (facial recognition) which is very important and is used in various applications like identification and detection. Keywords: Image processing, Face recognition, PCA, Eigen Face, Microcontroller _______________________________________________________________________________________________________ I. INTRODUCTION Face Recognition as it is often referred to as, analyses characteristics of a person's face image input through a camera. Facial recognition or face recognition as it is often referred to as, analyses characteristics of a person's face image input through a camera. Verification or identification can be accomplished from two feet away or more, without requiring the user to wait for long periods of time or do anything more than look at the camera. Traditionally student’s attendance is taken manually by using attendance sheet, given by the faculty member in class. The Current attendance marking methods are monotonous & time consuming. Manually recorded attendance can be easily manipulated. Moreover, it is very difficult to verify one by one student in a large classroom environment with distributed branches whether the authenticated students are actually responding or not. Hence the paper is proposed to tackle all these issues. The proposed system consists of a high resolution digital camera put on gate to monitor the classroom or office room. The data or images obtained by the camera are sent to a computer programmed system for further analysis. The obtained images are then compared with a set of reference images of each of the employees or students & mark the corresponding attendance. The system also provides for continuous monitoring of the classroom by an operator if needed. The camera module can be a wireless or wired system. II. PROPOSED SYSTEM’S ARCHITECTURE In the standalone application [1], face was captured by the webcam cameras and the detected faces are stored in desktop webcam folder. The system designed is part of an in-house built learning management suite (Libri) [11]. It is constructed in many modules:  Image capturing,  Face Detector and  Face recognizer. The entire process is described in the pseudo code [Put the camera on the door. If it detects someone then capture the image and compare it with the stored database images If image matched then mark his/her attendance If not then ignore] The required infrastructure in classroom that camera should be positioned centrally in the front of the classroom. Using this setup, the camera is capable to capture frontal images from students. A different approach would be to use a camera at the entrance of the classroom, which would individually detect faces for everyone entering the classroom.