Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Face Recognition based on Modular 2DPCA and Contextual Constraints based Kernel Discriminant Analysis

Authors
Hua-Li Feng
Corresponding Author
Hua-Li Feng
Available Online March 2013.
DOI
10.2991/iccsee.2013.461How to use a DOI?
Keywords
M2DPCA, CCLDA,CCKDA, face recognition
Abstract

In this paper, an improved face recognition algorithm is proposed based on the combination of modular 2DPCA and contextual constraints based kernel discriminant analysis (CCKDA) because of the disadvantages of CCLDA. CCLDA first transforms an image matrix to a vector which caused high dimensionality and computational complexity and not considers the local feature. While our method first extracts the local features with the original images which are divided into modular sub-images, then CSKDA is utilized, which incorporates the contextual information into kernel discriminant analysis. Experimental results obtained on ORL and XM2VTS databases show the effectiveness of the new method.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.461
ISSN
1951-6851
DOI
10.2991/iccsee.2013.461How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hua-Li Feng
PY  - 2013/03
DA  - 2013/03
TI  - Face Recognition based on Modular 2DPCA and Contextual Constraints based Kernel Discriminant Analysis
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1838
EP  - 1841
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.461
DO  - 10.2991/iccsee.2013.461
ID  - Feng2013/03
ER  -