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Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition

Published on December 2014 by Shailaja A. Patil, Pramod J. Deore
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National Conference on Advances in Communication and Computing
Foundation of Computer Science USA
NCACC2014 - Number 3
December 2014
Authors: Shailaja A. Patil, Pramod J. Deore
497a34a1-1198-418f-b315-10c7b37b3047

Shailaja A. Patil, Pramod J. Deore . Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition. National Conference on Advances in Communication and Computing. NCACC2014, 3 (December 2014), 1-5.

@article{
author = { Shailaja A. Patil, Pramod J. Deore },
title = { Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition },
journal = { National Conference on Advances in Communication and Computing },
issue_date = { December 2014 },
volume = { NCACC2014 },
number = { 3 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/ncacc2014/number3/19131-2026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Communication and Computing
%A Shailaja A. Patil
%A Pramod J. Deore
%T Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition
%J National Conference on Advances in Communication and Computing
%@ 0975-8887
%V NCACC2014
%N 3
%P 1-5
%D 2014
%I International Journal of Computer Applications
Abstract

This paper presents study of face recognition system which is based on Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) [1], [2]. These methods are used for feature extraction and dimension reduction. Nearest Neighbour Classifier (NNC) is used for classification. For matching Mahalanobis Cosine (Mahacos) and Cosine (Cos) distance is used.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Pca Lda Nnc Cos Mahacos.