• A kernelized sparsity-based approach for best spectral bands selection for face recognition 

      Bouchech, H.J.; Foufou, S.; Koschan, A.; Abidi, M. ( Springer Verlag , 2015 , Article)
      We study face recognition in unconstrained illumination conditions. A twofold contribution is proposed: First, the robustness of four state-of-the-art algorithms, namely Multi-block Local Binary Pattern (MBLBP), Histogram ...
    • Multilinear sparse decomposition for best spectral bands selection 

      Bouchech, Hamdi Jamel; Foufou, Sebti; Abidi, Mongi ( Springer Verlag , 2014 , Conference Paper)
      Optimal spectral bands selection is a primordial step in multispectral images based systems for face recognition. In this context, we select the best spectral bands using a multilinear sparse decomposition based approach. ...