Face Recognition Based on Feature Fusion

DOI

10.2991/icecee-15.2015.166How to use a DOI?

Keywords

Face recognition; Local feature; Gabor transform; Global feature.

Abstract

A face recognition method based on local feature and global feature is presented. Firstly, local feature of the face are extracted by Gabor wavelet transformation. Then, principal component analysis (PCA) is used to extract the global feature of the face. Finally, these features are integrated as the general features and the final result is given. The experiment shows that the performance of the proposed method is superior to the method based the single feature.

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/).

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TY  - CONF
AU  - Zhi-Ming Qian
AU  - Haifei Qin
AU  - Xiaoqing Liu
AU  - Yongchao Zhao
PY  - 2015/06
DA  - 2015/06
TI  - Face Recognition Based on Feature Fusion
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 863
EP  - 866
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.166
DO  - 10.2991/icecee-15.2015.166
ID  - Qian2015/06
ER  -