Automatic two phase sparse representation method and face recognition experiments

The two phase sparse representation (TPSR) method has achieved promising face recognition performance. However, this method has the following flaw: its recognition accuracy varies with parameter Μ and at present there is no means to automatically set it. As a consequence, it becomes the bottleneck to apply the TPSR method to real-world problems. In this paper, we propose an improvement to TPSR (ITPSR), which can choose a proper value of parameter Μ for obtaining the optimal performance. Extensive experiments show that the proposed ITPSR is feasible and can obtain excellent performance.