Enhancing sparsity via ℓp (0<p<1) minimization for robust face recognition

Sparse representation has received an increasing amount of interest in recent years. By representing the testing image as a sparse linear combination of the training samples, sparse representation based classification (SRC) has been successfully applied in face recognition. In SRC, the ℓ1 minimization instead of the ℓ0 minimization is used to seek for the sparse solution for its computational convenience and efficiency. However, ℓ1 minimization does not always yield sufficiently sparse solution in many practical applications. In this paper, we propose a novel SRC method, namely the ℓp (0

► Sparse representation based classification via ℓp (0► The solution of ℓp (0► An iteration algorithm is introduced to solve the ℓp minimization problem.
► Robust face recognition under different conditions via ℓp-SRC.