LBP based on multi wavelet sub-bands feature extraction used for face recognition

@article{Rashid2013LBPBO,
  title={LBP based on multi wavelet sub-bands feature extraction used for face recognition},
  author={Rasber D. Rashid and Sabah Jassim and Harin Sellahewa},
  journal={2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)},
  year={2013},
  pages={1-6}
}
The strategy of extracting discriminant features from a face image is immensely important to accurate face recognition. This paper proposes a feature extraction algorithm based on wavelets and local binary patterns (LBPs). The proposed method decomposes a face image into multiple sub-bands of frequencies using wavelet transform. Each sub-band in the wavelet domain is divided into non-overlapping sub-regions. Then LBP histograms based on the traditional 8-neighbour sampling points are extracted… CONTINUE READING

Citations

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