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Image Compression and Detection Technique Using Principal Component Analysis

Saif Ali1 , Manish Sharma2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-9 , Page no. 13-16, Sep-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i9.1316

Online published on Sep 30, 2019

Copyright © Saif Ali, Manish Sharma . 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: Saif Ali, Manish Sharma, “Image Compression and Detection Technique Using Principal Component Analysis,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.9, pp.13-16, 2019.

MLA Style Citation: Saif Ali, Manish Sharma "Image Compression and Detection Technique Using Principal Component Analysis." International Journal of Computer Sciences and Engineering 7.9 (2019): 13-16.

APA Style Citation: Saif Ali, Manish Sharma, (2019). Image Compression and Detection Technique Using Principal Component Analysis. International Journal of Computer Sciences and Engineering, 7(9), 13-16.

BibTex Style Citation:
@article{Ali_2019,
author = {Saif Ali, Manish Sharma},
title = {Image Compression and Detection Technique Using Principal Component Analysis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2019},
volume = {7},
Issue = {9},
month = {9},
year = {2019},
issn = {2347-2693},
pages = {13-16},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4840},
doi = {https://doi.org/10.26438/ijcse/v7i9.1316}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i9.1316}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4840
TI - Image Compression and Detection Technique Using Principal Component Analysis
T2 - International Journal of Computer Sciences and Engineering
AU - Saif Ali, Manish Sharma
PY - 2019
DA - 2019/09/30
PB - IJCSE, Indore, INDIA
SP - 13-16
IS - 9
VL - 7
SN - 2347-2693
ER -

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Abstract

This paper mainly presents face recognition system based on principal component analysis. The goal is to implement the system which is able to distinguish a single face from the larger database. In this research work we are compressing the image using the mathematical tool principal component analysis and then recognize the image from the same data set by the model. First we will describe the basic concepts prevailing with principal component analysis. Then we will see that how principal component can be extracted from a given data set. Then we will go for sampling distribution of Eigen values and Eigen vectors. Then followed by model adequacy test, then we perform our task of image detection. The problem arises when we use high dimensionality space. Because in face or in 3d image, we have different eigen values or vectors and it can’t be fixed due to high dimensions as compared to 2d image. Hence, we use Principal Component Analysis (PCA).

Key-Words / Index Term

PCA, Eigen values, Eigen vectors, image compression. Dimension reduction

References

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