An Illumination Invariant Face Recognition Method Based on Gradientfaces and 2DLDA

DOI

10.2991/csic-15.2015.102How to use a DOI?

Keywords

Gradientfaces, 2DLDA, Face recognition

Abstract

Extracting illumination invariant features is an effective method to improve recognition rate of algorithm with varying illumination. In this paper, a novel illumination invariant method which combines Gradientface and 2DPDA is proposed. First, this approach transforms a face image into Gradientface, then the 2DPCA is used to reduce the dimension of Gradientface. The experimental results verify the effectiveness of our approach on CAS-PEAR-R1 and CMU PIE face databases.

Copyright

© 2015, 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)

TY  - CONF
AU  - Yongfeng Qi
AU  - Yuanlian Huo
PY  - 2015/07
DA  - 2015/07
TI  - An Illumination Invariant Face Recognition Method Based on Gradientfaces and 2DLDA
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 422
EP  - 424
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.102
DO  - 10.2991/csic-15.2015.102
ID  - Qi2015/07
ER  -