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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

Unique Identifier

JETIR2005131

Page Number

924-927

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Title

A HYBRID FRAMEWORK FOR LIE DETECTION USING DYNAMIC FACIAL FEATURES

ISSN

2349-5162

Cite This Article

"A HYBRID FRAMEWORK FOR LIE DETECTION USING DYNAMIC FACIAL FEATURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.924-927, May-2020, Available :http://www.jetir.org/papers/JETIR2005131.pdf

Authors

Abstract

Facial Expression recognition is a term which refers to recognizing the mode of the user according to the facial movements and other facial gestures. A lot of previous researches have been already submitted in the same work with different accuracy rate. The reserch work is try to enhance the accuracy rate by improving the feature extraction methods and classification using Neural Network, along with some pre and post processing steps. Finally, in the end proposed work is compare with the previous classifiers to measure the accuracy rate.

Key Words

Facial Recognition System, Verification, Lie detection, Linear Discriminant Analysis.

Cite This Article

"A HYBRID FRAMEWORK FOR LIE DETECTION USING DYNAMIC FACIAL FEATURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp924-927, May-2020, Available at : http://www.jetir.org/papers/JETIR2005131.pdf

Publication Details

Published Paper ID: JETIR2005131
Registration ID: 231443
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 924-927
ISSN Number: 2349-5162

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Cite This Article

"A HYBRID FRAMEWORK FOR LIE DETECTION USING DYNAMIC FACIAL FEATURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp924-927, May-2020, Available at : http://www.jetir.org/papers/JETIR2005131.pdf




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