Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

Facial Recognition Based on Discrete Wavelet Transform and Component Analysis Support Vector Machine

Authors
Jiangxiong Zhu, Chang Feng
Corresponding Author
Jiangxiong Zhu
Available Online March 2017.
DOI
https://doi.org/10.2991/ifmca-16.2017.22How to use a DOI?
Keywords
Facial recognition; discrete wavelet transform; independent component analysis; kernel function support vector machine
Abstract
In order to realize facial recognition with different characters such as illumination, posture and noise and improve the recognition precision, a facial recognition method based on discrete wavelet transform and least squares support vector machine is proposed. the discrete wavelet transform is used to compress the facial figure and reducing the noise to get the character information component with low frequency, and then the fast independent component analysis is used to obtain the facial character information with low frequency to reduce the dimension further. Finally, the radius basis function is used as the kernel function, and the training data is input to the least squares support vector machine to get the final recognition model. The simulation experiment is simulated in ORL database with Matlab tool, and the result shows the method in this paper can realize the facial recognition.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
978-94-6252-307-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifmca-16.2017.22How 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  - Jiangxiong Zhu
AU  - Chang Feng
PY  - 2017/03
DA  - 2017/03
TI  - Facial Recognition Based on Discrete Wavelet Transform and Component Analysis Support Vector Machine
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 141
EP  - 145
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.22
DO  - https://doi.org/10.2991/ifmca-16.2017.22
ID  - Zhu2017/03
ER  -