Multitask multivariate common sparse representations for robust multimodal biometrics recognition

In this paper, we propose multitask multivairate common sparse representations for robust multimodal biometrics recognition. The proposed approach can be viewed as an extension of previous work on joint sparse representations for robust multimodal biometrics recognition. The proposed algorithm utilizes the discriminative information among different modalities simultaneously by enforcing the common sparse representation across all the modalities and achieves more robust multimodal recognition especially when all modalities are noisy and “weak”. Alternating direction method of multipliers is proposed to solve the resulting optimization problem. Experiments on two biometric datasets show that our method performs better than the state-of-the-art fusion methods.