UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 9 | Issue 8 | August 2022

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Published in:

Volume 8 Issue 7
July-2021
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:
JETIR2107297


Registration ID:
312229

Page Number

c212-c215

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Title

Facial Expression Recognition using Convolutional Neural Network and k-Nearest Neighbors

Abstract

The importance of facial expression recognition in different applications. To do such task the traditional feature extraction is used which involves in complex processing. Previously various deep neural networks have been used for this task, as well it can be replaced by some improved methods. So, in this paper we have proposed a system for face recognition which uses the convolutional neural network (CNN) and KNN along with the detection of the edges of image. The proposed work flows in two steps in the first the normalization of the facial expression in the image is done, secondly the convolution is done for the extraction of the edges in images. After this the maximum pooling method is used for the dimensionality reduction. At the end the classification of the facial expression is done and the Softmax classifier is used for this classification and the face expression is recognized. The facial expression recognition experiment is done on the Fer-2013 dataset. The results obtained form the proposed approach gets a face recognition rate up to 92.45% for the used dataset. The given method works with lesser number of iterations for the recognition and the system provides approx 1.5 times fast execution as compared to the SDSRN algorithm.

Key Words

Facial Expression Recognition, Image Edge Detection, Convolutional Neural Network, Deep Learning, Maximum Pooling Classification.

Cite This Article

"Facial Expression Recognition using Convolutional Neural Network and k-Nearest Neighbors ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.c212-c215, July-2021, Available :http://www.jetir.org/papers/JETIR2107297.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 Convolutional Neural Network and k-Nearest Neighbors ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppc212-c215, July-2021, Available at : http://www.jetir.org/papers/JETIR2107297.pdf

Publication Details

Published Paper ID: JETIR2107297
Registration ID: 312229
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: c212-c215
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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