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Face Recognition Based Smart Classroomusing IoT


P. Santhoshini , RMD Engineering college; P. Sathiyaseelan, TCS-USA; R. Janani Sri, RMD Engineering college; RA. Kaarnika Sree, RMD Engineering college; R. Kaaviya, RMD Engineering college


Viola Jones Algorithm, Vital Feature Points, Adaboost Classifier, Face Identification, Facial Features, Mapping, Artificial Neural Networks (ANN)


Most representative part of body can be used to differentiate one person among others is face and it is a fundamental technology of biometrics, which has been applied to a variety of areas like computer vision, security systems (pattern recognition), human machine interaction and image processing. In this proposed approach the features of the query image (current facial image) and database images (stored facial image) features have been extracted by Viola Jones algorithm and trained using ANN. This paper is to increment the output neurons simultaneously with incrementing the input patterns started with a small number of output neurons and a single hidden-layer using an initial number of neurons. Face recognition experiments were carried out by using Artificial Neural Networks. The main objective of this proposed system is to develop an efficient face recognition system by improving the efficiency of the existing face recognition systems and also for the process of secured attendance system. This attendance system uses the mapping of the images with the database and it updates the days of present and also notifies the external person’s presence.

Other Details

Paper ID: IJSRDV6I120280
Published in: Volume : 6, Issue : 12
Publication Date: 01/03/2019
Page(s): 643-646

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