Research on face recognition method based on PCA

DOI

10.2991/icimm-16.2016.33How to use a DOI?

Keywords

Principal component analysis (PCA),K-L transform.

Abstract

Principal component analysis (PCA) is one of the most widely used face feature extraction methods, and has evolved a lot of new algorithms, which has become a hot research topic. It[1] is a multivariate statistical method, can effectively reduce the dimension of the face image, and can keep the original data of most of the major information, has been widely used in the field of pattern recognition and computer vision. This paper introduces the basic principles of PCA, as well as the improved PCA algorithm, and finally the simulation experiments are carried out.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Tingting Chen
AU  - Riuan Liu
AU  - Lirong Diao
PY  - 2016/11
DA  - 2016/11
TI  - Research on face recognition method based on PCA
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 161
EP  - 164
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.33
DO  - 10.2991/icimm-16.2016.33
ID  - Chen2016/11
ER  -