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Research of Face Recognition Method Use of MRA-Framework
Authors
Zhaoying Wu, Feng Ma, Wanshe Li
Corresponding Author
Zhaoying Wu
Available Online January 2016.
- DOI
- 10.2991/icaita-16.2016.1How to use a DOI?
- Keywords
- face recognition; MRA-framelet; principal component analysis (PCA); wavelet transformation; noise adding
- Abstract
Of the face image after adding noise, face recognition rate of traditional PCA method will be significantly lowered, this paper will use orthogonal wavelet + PCA and wavelet frame + PCA methods to study it respectively. First, the face image processing plus noise, then decomposition the image under the use of orthogonal wavelet and wavelet frame, and then sub-graph of decomposition will be dimensionality reduction and feature extraction using the methods of PCA, and finally, use third-order nearest neighbor classifier for classification and identification. And on the ORL face database, the experiment results show the effectiveness of this method, good way to improve the recognition rate plus noise situation servants face image.
- 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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Cite this article
TY - CONF AU - Zhaoying Wu AU - Feng Ma AU - Wanshe Li PY - 2016/01 DA - 2016/01 TI - Research of Face Recognition Method Use of MRA-Framework BT - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications PB - Atlantis Press SP - 1 EP - 5 SN - 1951-6851 UR - https://doi.org/10.2991/icaita-16.2016.1 DO - 10.2991/icaita-16.2016.1 ID - Wu2016/01 ER -