Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Face Recognition Method Based on 2DLDA and SVM Optimated by PSO Algorithm

Authors
Dan Zou, Hong Zhang
Corresponding Author
Dan Zou
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.81How to use a DOI?
Keywords
Wavelet Transform; Two Dimensional Linear Discriminant Analysis; Particle Swarm Optimization; Support Vector Machine; Face Recognition
Abstract
Concerning the "Small Samples Size" problem in LDA algorithm and reduce the effects to the SVM face recognition rate caused by random parameters set by human. An algorithm based on combination with the PSO algorithm which was originated form artificial life and evolutionary computation to SVM's parameters election and optimization, and Wavelet Transform , two-dimensional LDA(2DLDA) was proposed. Firstly, the original images were decomposed into high-frequency and low-frequency Components by Wavelet Transform (WT). The high-frequency components were ignored, while the low-frequency components can be obtained. Then, the liner discriminant features were extracted by two-dimensional LDA (2DLDA). Finally, we use the PSO algorithm to SVM's parameters election and optimization. Experimental results based on ORL face database show the validity of the algorithm this paper proposed for face recognition and it can reach the recognition rate of 98%.
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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.81How 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  - Dan Zou
AU  - Hong Zhang
PY  - 2016/12
DA  - 2016/12
TI  - Face Recognition Method Based on 2DLDA and SVM Optimated by PSO Algorithm
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 391
EP  - 399
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.81
DO  - https://doi.org/10.2991/mcei-16.2016.81
ID  - Zou2016/12
ER  -