Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

A PCA-based Face Recognition Method by Applying Fast Fourier Transform in Pre-processing

Authors
Zhang Dehai, Ding Da, Li Jin, Liu Qing
Corresponding Author
Zhang Dehai
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.141How to use a DOI?
Keywords
Face recognition; pre-processing; Fast Fourier Transform; PCA; SVM
Abstract
Principal Component Analysis (PCA) is a well-studied method in face recognition. Noticing that few researches focus on pre-processing of images, which will also improve the performance of feature extraction of PCA algorithm, we present an improved approach of PCA based face recognition algorithm using Fast Fourier Transform (FFT). In our method, FFT is presented as a method to combine amplitude spectrum of one image with phase spectrum of another image as a mixed image. PCA is applied to do feature extraction and a kernel SVM is harnessed as a classifier. To test and evaluate the performance of the proposed approach, a series of experiments are performed on Yale face database A. The experimental results show that our proposed method is encouraging.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.141How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhang Dehai
AU  - Ding Da
AU  - Li Jin
AU  - Liu Qing
PY  - 2013/11
DA  - 2013/11
TI  - A PCA-based Face Recognition Method by Applying Fast Fourier Transform in Pre-processing
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.141
DO  - https://doi.org/10.2991/icmt-13.2013.141
ID  - Dehai2013/11
ER  -