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Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition
IJCA Proceedings on National Conference on Advances in Communication and Computing
© 2014 by IJCA Journal
NCACC 2014 - Number 3
Year of Publication: 2014
Shailaja A Patil and Pramod J Deore. Article: Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition. IJCA Proceedings on National Conference on Advances in Communication and Computing NCACC(3):1-5, December 2014. Full text available. BibTeX
@article{key:article,
author = {Shailaja A. Patil and Pramod J. Deore},
title = {Article: Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) based Face Recognition},
journal = {IJCA Proceedings on National Conference on Advances in Communication and Computing},
year = {2014},
volume = {NCACC},
number = {3},
pages = {1-5},
month = {December},
note = {Full text available}
}
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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