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Face Recognition Using K-NN Algorithm Along With PCA

Nitin Kumar1 , Gaurav 2 , Deepak Kumar3

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 352-354, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.352354

Online published on May 31, 2019

Copyright © Nitin Kumar, Gaurav, Deepak Kumar . 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: Nitin Kumar, Gaurav, Deepak Kumar, “Face Recognition Using K-NN Algorithm Along With PCA,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.352-354, 2019.

MLA Style Citation: Nitin Kumar, Gaurav, Deepak Kumar "Face Recognition Using K-NN Algorithm Along With PCA." International Journal of Computer Sciences and Engineering 7.5 (2019): 352-354.

APA Style Citation: Nitin Kumar, Gaurav, Deepak Kumar, (2019). Face Recognition Using K-NN Algorithm Along With PCA. International Journal of Computer Sciences and Engineering, 7(5), 352-354.

BibTex Style Citation:
@article{Kumar_2019,
author = {Nitin Kumar, Gaurav, Deepak Kumar},
title = {Face Recognition Using K-NN Algorithm Along With PCA},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {352-354},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4247},
doi = {https://doi.org/10.26438/ijcse/v7i5.352354}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.352354}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4247
TI - Face Recognition Using K-NN Algorithm Along With PCA
T2 - International Journal of Computer Sciences and Engineering
AU - Nitin Kumar, Gaurav, Deepak Kumar
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 352-354
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Face Recognition is an exciting task in the field of machine learning. Various techniques and methods have been used to solve the problem of face recognition. In this paper, we have shown that how K Nearest Neighbors algorithm along with Principal Component Analysis can be used to recognize a face efficiently. K nearest neighbor algorithm is a non parametric learning algorithm that works on target values of K nearest data points of the query point and finalize the value of the query point. PCA uses the concept of Eigen vectors. An Eigen vector represents an image. PCA finds K Eigen vectors corresponds to K higher Eigen values. So PCA algorithm is an efficient method for feature extraction in face recognition. Implementation is done using python programming language. This paper shows the effect of combination of above mentioned technologies and their edge cutting results.

Key-Words / Index Term

Face Recognition, KNN, PCA, Eigen vectors

References

[1]. Mehran Kafai, Member, IEEE, Le An, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE, “Reference Face Graph for Face Recognition”, IEEE, ISSN - 1556-6013 , 2013.
[2]. Kavita , Ms. Manjeet Kaur,” A Survey paper for Face Recognition Technologies”, International Journal of Scientific and Research Publications, ISSN 2250-3153, Volume 6, Issue 7, July 2016.
[3]. Ashutosh Chandra Bhensle, Rohit Raja,” An Efficient Face Recognition using PCA and Euclidean Distance Classification”, IJCSMC, ISSN 2320–088X, Vol. 3, Issue. 6, June 2014.
[4]. P Y kumbhar , Mohammad attaullah , Shubham Dhere , Shivkumar Hipparagi, “Real time face detection and tracking using OpenCV”, International Journal for Research in Emerging Science and Technology, ISSN: 2349-7610, Volume-4, Issue-4, Apr-2017.
[5]. Manik Sharma, J Anuradha, H K Manne and G S C Kashyap, “Facial detection using deep learning”, IOP Publishing, 14th ICSET, 2017.
[6]. Gaurav, Ritu Sindhu, “Python as a key for data science”, IJCSE, ISSN-2347-2693, Volume-6, Issue-4, Apr-2018.
[7]. Ing. Zdena Dobesova, “Programming Language Python for Data Processing”, IEEE, International Conference on Electrical and Control Engineering (ICECE), ISBN: 978-1-4244-8165-1, 2011 .