A simple two steps algorithm for face recongition

In this paper, we propose a very simple face recognition method. This method first exploits a linear combination of all the training samples to express the test sample. Then it evaluates the capability of each class in expressing the test sample and assigns the test sample to the class that has the strongest capability. Using the expression result, the proposed method can classify the testing sample with a high accuracy. though the proposed method exploits only one training sample per class to perform classification, it might obtain a better performance than the nearest feature space (NFS) method.