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A comparative study of feature extraction using PCA and LDA for face recognition

Erwin, Hidayat and Fajrian Nur, A. and Azah Kamilah, Draman@Muda and Choo , Yun Huoy and Sabrina, Ahmad (2011) A comparative study of feature extraction using PCA and LDA for face recognition. In: 7th International Conference on Information Assurance and Security (IAS 2011), 5-8 December 2011, Melaka. (Submitted)

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Abstract

Feature extraction is important in face recognition. This paper presents a comparative study of reature 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. The experiments were conducted using six datasets of face images with different disturbance. The results showed that LDA is much better than PCA in overall image with various disturbances. While in time taken evaluation, PCA is faster than LDA.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: face recognition, feature extraction, PCA, LDA
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User: Noor Rahman Jamiah Jalil
Date Deposited: 22 Oct 2015 01:08
Last Modified: 22 Oct 2015 01:08
URI: http://eprints.utem.edu.my/id/eprint/15091

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