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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 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 e...

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Main Authors: Yudi Hidayat, Erwin, Fajrian, Nur Adnan, Draman @ Muda, Azah Kamilah, Choo, Yun Huoy, Ahmad, Sabrina
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Q Science (General)
Online Access:http://eprints.utem.edu.my/id/eprint/15091/1/A%20comparative%20study%20of%20feature%20extraction%20using%20PCA%20and%20LDA%20for%20face%20recognition260.pdf
http://eprints.utem.edu.my/id/eprint/15091/
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spelling my.utem.eprints.150912023-05-23T15:58:54Z http://eprints.utem.edu.my/id/eprint/15091/ A comparative study of feature extraction using PCA and LDA for face recognition Yudi Hidayat, Erwin Fajrian, Nur Adnan Draman @ Muda, Azah Kamilah Choo, Yun Huoy Ahmad, Sabrina Q Science (General) 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. 2011-12 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/15091/1/A%20comparative%20study%20of%20feature%20extraction%20using%20PCA%20and%20LDA%20for%20face%20recognition260.pdf Yudi Hidayat, Erwin and Fajrian, Nur Adnan and Draman @ Muda, Azah Kamilah and Choo, Yun Huoy and Ahmad, Sabrina (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)
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Yudi Hidayat, Erwin
Fajrian, Nur Adnan
Draman @ Muda, Azah Kamilah
Choo, Yun Huoy
Ahmad, Sabrina
A comparative study of feature extraction using PCA and LDA for face recognition
description 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.
format Conference or Workshop Item
author Yudi Hidayat, Erwin
Fajrian, Nur Adnan
Draman @ Muda, Azah Kamilah
Choo, Yun Huoy
Ahmad, Sabrina
author_facet Yudi Hidayat, Erwin
Fajrian, Nur Adnan
Draman @ Muda, Azah Kamilah
Choo, Yun Huoy
Ahmad, Sabrina
author_sort Yudi Hidayat, Erwin
title A comparative study of feature extraction using PCA and LDA for face recognition
title_short A comparative study of feature extraction using PCA and LDA for face recognition
title_full A comparative study of feature extraction using PCA and LDA for face recognition
title_fullStr A comparative study of feature extraction using PCA and LDA for face recognition
title_full_unstemmed A comparative study of feature extraction using PCA and LDA for face recognition
title_sort comparative study of feature extraction using pca and lda for face recognition
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/15091/1/A%20comparative%20study%20of%20feature%20extraction%20using%20PCA%20and%20LDA%20for%20face%20recognition260.pdf
http://eprints.utem.edu.my/id/eprint/15091/
_version_ 1768012349532274688
score 13.211869

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