Face Recognition Research Based on Weighted Wavelet Decomposition
[1]SU Shimei,WANG Yan,WANG Mingxia.Face Recognition Research Based on Weighted Wavelet Decomposition[J].Journal of Zhengzhou University (Engineering Science),2014,35(01):5-9.[doi:10.3969/j.issn.1671-6833.2014.01.002]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
35卷
Number of periods:
2014 01
Page number:
5-9
Column:
Public date:
2014-02-28
- Title:
- Face Recognition Research Based on Weighted Wavelet Decomposition
- CLC:
- -
- DOI:
- 10.3969/j.issn.1671-6833.2014.01.002
- Abstract:
- Wavelet transform ean elfeetively deeompose an image into high-requeney and low-frequeney infor.mation. Existing faee recognition algorithms mostly based on the low-frequeney information do not take full useof the high-requeney information. PCA has been widely used in faee recognition algorithms beeause of its sim.ple realization and high reeognition rate for frontal faces. But PCA is computationally intensive, and it’s vul.nerable to the changes of illumination and facial expression. This paper presents a new faee recognition methoduniting weighted wavelet decomposition with the PCA algorithm. This method can make up for the disadvan.tage of the traditional PCA algorithm which is sensitive to the changes of illumination and facial expression , forthe faee details are fully utilized through the weighted fusion of the seeondary decomposition of wavelet low fre.queney components and setting the new weighted values to the first three maximum prineipal vectors of PCA.E’xperimental results show that the proposed method has a marked improvement in recognition rate and trainingtime.
- References:
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