Atomic Decomposition by Basis Pursuit
SIAM Review
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probing the Pareto Frontier for Basis Pursuit Solutions
SIAM Journal on Scientific Computing
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing
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Iris recognition has become one of the most promising approaches for biometric authentication. Due to the fact that corruption and occlusion in iris images caused by eyelash occlusion, eyelid overlapping, specular and cast reflection is large in magnitude but sparse in spatial, a sparse representation method based on sparse error correction model is introduced in the paper. To improve the robustness and efficiency of the recognition system, each iris sample is separated into a few sectors, and a Bayesian fusion-based cumulative SCI (CSCI) approach is applied to validate the recognition results. Experimental results on CASIA-IrisV3 demonstrate the proposed method achieves excellent recognition performance both in robustness and efficiency.