A Comparative Study of Feature Extraction Using PCA and LDA
for Face Recognition

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A Comparative Study of Feature Extraction Using PCA and LDA for Face Recognition

Feature extraction is important in face recognition. This paper presents a comparative study of feature extraction using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for face recognition. The evaluation parameters for the study are time and accuracy of each method....

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Bibliographic Details
Main Authors:	Muda, A. K., Yun-Huoy, C., Ahmad, S.
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/244/ http://eprints.utem.edu.my/id/eprint/244/1/P140.pdf

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