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How to extract the strong features of face image is vital important in the face recognition technology. The extracted features should be robust for variation of illumination and expression. A novel feature extraction algorithm based on wavelet decomposition and LBP is proposed, which makes use of the idea of wavelet multiresolution and local characteristic of LBP. And the features extracted by this...
The important step of face recognition based on subspace method is to obtain powerful features. In this paper, we propose a novel feature extraction technique based on discrete wavelet frame transform (DWFT), which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. In the feature space, we...
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