UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRC006298


Registration ID:
184597

Page Number

1726-1730

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Title

Facial Expression Recognition using Hidden Markov Model

Abstract

In this research we gave proposed a facial expression recognition system with logical partition. Since generating an effective way for feature extraction in FER is vital step in this domain. We have partition the image into three parts and then extracted the feature helps us to get good accuracy. We have adopted two different approaches, first is local binary pattern and landmark based. To evaluate the efficiency of our proposed system we have tested it with CK+ and computer created dataset, FergDB. Our proposed work shows 50% accuracy in CK+ and 48.2% in FergDB dataset.

Key Words

FER, HMM, local binary pattern, landmark, logical partition

Cite This Article

"Facial Expression Recognition using Hidden Markov Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1726-1730, July-2018, Available :http://www.jetir.org/papers/JETIRC006298.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Facial Expression Recognition using Hidden Markov Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1726-1730, July-2018, Available at : http://www.jetir.org/papers/JETIRC006298.pdf

Publication Details

Published Paper ID: JETIRC006298
Registration ID: 184597
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 1726-1730
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162


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