Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Face Recognition Based on Feature Fusion

Authors
Zhi-Ming Qian, Haifei Qin, Xiaoqing Liu, Yongchao Zhao
Corresponding Author
Zhi-Ming Qian
Available Online June 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.166How 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  - 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  - 2015 2nd 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  - https://doi.org/10.2991/icecee-15.2015.166
ID  - Qian2015/06
ER  -