Face Recognition Using Principal Component Analysis Method
N. Mahale1 , M.S. Nagmode2 , P.S. Ghatol3
Section:Research Paper, Product Type: Journal Paper
Volume-2 ,
Issue-7 , Page no. 57-61, Jul-2014
Online published on Jul 30, 2014
Copyright © N. Mahale, M.S. Nagmode, P.S. Ghatol . 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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How to Cite this Paper
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IEEE Style Citation: N. Mahale, M.S. Nagmode, P.S. Ghatol, “Face Recognition Using Principal Component Analysis Method,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.7, pp.57-61, 2014.
MLA Style Citation: N. Mahale, M.S. Nagmode, P.S. Ghatol "Face Recognition Using Principal Component Analysis Method." International Journal of Computer Sciences and Engineering 2.7 (2014): 57-61.
APA Style Citation: N. Mahale, M.S. Nagmode, P.S. Ghatol, (2014). Face Recognition Using Principal Component Analysis Method. International Journal of Computer Sciences and Engineering, 2(7), 57-61.
BibTex Style Citation:
@article{Mahale_2014,
author = {N. Mahale, M.S. Nagmode, P.S. Ghatol},
title = {Face Recognition Using Principal Component Analysis Method},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2014},
volume = {2},
Issue = {7},
month = {7},
year = {2014},
issn = {2347-2693},
pages = {57-61},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=207},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=207
TI - Face Recognition Using Principal Component Analysis Method
T2 - International Journal of Computer Sciences and Engineering
AU - N. Mahale, M.S. Nagmode, P.S. Ghatol
PY - 2014
DA - 2014/07/30
PB - IJCSE, Indore, INDIA
SP - 57-61
IS - 7
VL - 2
SN - 2347-2693
ER -
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Abstract
In this paper the method of Face Recognition is presented. Now a day the need of security is increasing. Many methods are using for maintaining the security like as credit cards, pin numbers, smart cards etc. But some times it fails. This paper presents a Face Recognition method using Principal Component Analysis. This method applies on both data base image and input image. By the use of PCA the system finds the Eigen values, Eigen vector and Euclidian distance. After comparing from database it declares the matches.
Key-Words / Index Term
Recognition, PCA, Euclidian distance, Eigen Values, Eigen Vectors.
References
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