Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

A new face recognition system based on Kernel maximum between-class margin criterion (KMMC)

Authors
Minghua Wan, Qiaoli Wang, Hui Liu, Xun Li
Corresponding Author
Minghua Wan
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.117How to use a DOI?
Keywords
Face recognition; Feature extraction; Small sample size; Kernel maximum between-class margin criterion
Abstract
To avoid small sample problem in pattern recognition, the paper uses KMMC (Kernel maximum between-class margin criterion method) as the basic extraction method for face recognition, which is based on the maximum difference of between-class scatter and within-class scatter in feature space. The objective of KMMC is to seek an optimal set of discriminant vectors as the projection axis to do some projection transformation, and to make the between-class scatter of feature space sample maximum, the within-class scatter minimum, theoretically solved the problems that can not be solved due to singularity of within-class scatter and demonstrates its efficiency of feature extraction furthermore. The test results show the validity of this method on ORL database. At last, it designed and implemented face recognition system based on KMMC by using Matlab7.1.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
Series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.117How 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  - Minghua Wan
AU  - Qiaoli Wang
AU  - Hui Liu
AU  - Xun Li
PY  - 2015/04
DA  - 2015/04
TI  - A new face recognition system based on Kernel maximum between-class margin criterion (KMMC)
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 602
EP  - 606
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.117
DO  - https://doi.org/10.2991/icmra-15.2015.117
ID  - Wan2015/04
ER  -