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

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IJCA Proceedings on National Conference on Advances in Communication and Computing
© 2014 by IJCA Journal
NCACC 2014 - Number 3
Year of Publication: 2014
Authors:
Shailaja A. Patil
Pramod J. Deore

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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