Open AccessAttendance Maintaining and Monitoring using Face Recognition
Author(s) -
C. Kalpana,
S. Hemavathi,
K. Geerthana,
T. Dhakshayini
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3566.049620
Subject(s) - attendance , facial recognition system , computer science , barcode , artificial intelligence , classifier (uml) , face detection , face (sociological concept) , truancy , computer vision , computer security , database , pattern recognition (psychology) , psychology , political science , social science , criminology , sociology , operating system , law
Technology has been playing a vital role in this world, where the work and the work place become digitalized. The paper reviews on monitoring the attendance using image processing, which involves face detection, labeling the detected face, training a classifier based on labeled dataset, and face recognition. Former methods on monitoring the attendance includes signing the attendance registry, fingerprint detection and barcode scanning where delinquency may occur. To prevail over and to take the technology to subsequent level image processing has been incorporated. Proposed system employs, capturing of the face in various dimensions, labeling of the captured images that is stored in the database for training and testing phase. Using the gathered data the machine is trained to recognize the face to provide access to the employees or students in the organization. The final phase is to take the attendance and maintain the record on attending hours using face recognition technique in which the input image of the employees or students is given.