Open AccessAttendance Management System using Face Recognition
Author(s) -
M. Sujatha,
Dr.Shymala Bharathi,
D. Shanthi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3931.1081219
Subject(s) - computer science , attendance , biometrics , facial recognition system , face (sociological concept) , artificial intelligence , identification (biology) , computer vision , digital camera , face detection , image processing , database , image (mathematics) , pattern recognition (psychology) , social science , botany , sociology , economics , biology , economic growth
Attendance management system is one of the tremendous challenges in any organization to reduce the malpractices by the individual. This paper aims to design automatic system for attendance using the face detection using LabVIEW (Vision Assistance Module) in order to replace the manual system and makes easier for the user to calculate the number of individuals and reduces the burden in taking attendance. Face recognition is one of the biometrics used in security systems, human machine interaction and image processing techniques [5]. This system is mostly helpful in security purpose and in commercial applications. It can be done by taking the image of the individual which is been captured by camera so that this image is converted into digital form. From this digital data the pattern of individuals is extracted so that everyone will have unique patterns. These patterns are stored in the database in excel format. The identification of the person is done by comparing the image captured through camera with the database images. Initially before starting the Attendance every individual is marked absent. Once the individual comes across the camera, the Automated system will extract the information by pre-processing the image with the help of Vision Assistance and extracts the patterns from the digital data. This data is compared with the stored patterns in database if the pattern matches with the database it automatically marks present