Open AccessAn Advanced Attendance Marking system using facial Recognition
Author(s) -
Jarugula Vamsikrishna,
Kollipara Anudeep,
L. Jegan Antony Marcilin,
V. Balamurugan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/590/1/012049
Subject(s) - attendance , computer science , facial recognition system , artificial intelligence , computer vision , face detection , frame (networking) , noise (video) , metric (unit) , face (sociological concept) , task (project management) , image (mathematics) , pattern recognition (psychology) , engineering , telecommunications , social science , operations management , systems engineering , sociology , economics , economic growth
With advancement in computing and telecommunications technologies, digital images and videos are playing main role in the current information era. Human face is an important bio-metric object in image and video database of surveillance systems. Detecting and location of human faces and facial features in an image sequence is an important task in dynamic environments, such as videos where noise conditions, illuminations, locations of subjects and pose can vary significantly from frame to frame. An automated attendance system is used for marking human face recognition in real time for college to mark the attendance for their staff and students. Smart automated attendance marking using real time face recognition is a real world solution which comes with day to day activities of handling employees. Here multiple user faces are detected and recognized with the data base trained multiple texture based notability.