Supervised within-class-similar discriminative dictionary learning for face recognition.

•A discriminative dictionary learning algorithm is put forward for face recognition.•The algorithm combines the linear classification error with the within-class scatter.•The fisher ratios of the coefficients are enhanced.•The proposed method outperforms some state-of-the-art dictionary learning algorithms.