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Measuring The Accuracy of The Facial Images Using Convolutional Neural Networks in Deep Learning

Kuppili Rakesh1 , Marepalli Kamala Kumari2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 476-480, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.476480

Online published on Mar 31, 2019

Copyright © Kuppili Rakesh, Marepalli Kamala Kumari . 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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IEEE Style Citation: Kuppili Rakesh, Marepalli Kamala Kumari, “Measuring The Accuracy of The Facial Images Using Convolutional Neural Networks in Deep Learning,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.476-480, 2019.

MLA Style Citation: Kuppili Rakesh, Marepalli Kamala Kumari "Measuring The Accuracy of The Facial Images Using Convolutional Neural Networks in Deep Learning." International Journal of Computer Sciences and Engineering 7.3 (2019): 476-480.

APA Style Citation: Kuppili Rakesh, Marepalli Kamala Kumari, (2019). Measuring The Accuracy of The Facial Images Using Convolutional Neural Networks in Deep Learning. International Journal of Computer Sciences and Engineering, 7(3), 476-480.

BibTex Style Citation:
@article{Rakesh_2019,
author = {Kuppili Rakesh, Marepalli Kamala Kumari},
title = {Measuring The Accuracy of The Facial Images Using Convolutional Neural Networks in Deep Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {476-480},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3864},
doi = {https://doi.org/10.26438/ijcse/v7i3.476480}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.476480}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3864
TI - Measuring The Accuracy of The Facial Images Using Convolutional Neural Networks in Deep Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Kuppili Rakesh, Marepalli Kamala Kumari
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 476-480
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Deep learning methods are good in achieving success while dealing with the computer vision and face recognition problems. In deep learning, convolutional neural network is a step head while comparing with other methods. Till now face recognition has done with large dataset to learn face representations, which has low efficiency because of the large dataset. The proposed convolutional neural networks fringe deep learning neural networks to learn face representations from small data set. This system consists of four layers convolution, ReLu, pooling and fully connected layers. Here the training set has to be synthesized and augmented then make the data set double in size for efficient power of generalizing the data with convolutional neural network.

Key-Words / Index Term

Deep learning, face recognition, small dataset, small training dataset, augmented dataset, synthesized data, convolution neural networks

References

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