Neural Network through Face Recognition

A.K.Gupta ¹ , S.Gupta ²

1. Defence Research and Development Organisation, Delhi, India.
2. Association for Computing Machinery, Delhi, India.

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.38-40, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i2.3840

Online published on Apr 30, 2018

Copyright © A.K.Gupta, S.Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The aim is to utilise image processing to figure out lip movements and provide lice interaction with the system based on it. The multimodal HCI is displayed which enables a client to take a shot at a PC utilizing developments and motions made with the specific user’s mouth. Calculations for lip development and lip signal acknowledgement are introduced in points of interest. Client confront pictures are caught with a standard webcam. Face identification depends on a course of helped classifiers. Mouth position is utilized to track lip developments that enables a client to control a screen cursor. Three lip signals which are mouth opening, standing out tongue, and framing puckered lips respectively are perceived. An acknowledgment of lip is performed by simulated neural system.

Key-Words / Index Term :
human-computer interface, image processing; lip gestures, artificial neural network.

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