Unitary Regression Classification With Total Minimum Projection Error for Face Recognition

In this letter, we propose a unitary regression classification (URC) algorithm, which could achieve total minimum projection error, to improve the robustness of face recognition. Starting from linear regression classification, the goal of the proposed URC method is to minimize the total within-class projection error of all classes to seek the unitary projection for face classification. In the recognition phase, the recognition is determined by calculating the minimum projection error on the unitary rotation subspace. Experimental results carried out on FEI and FERET facial databases reveal that the proposed algorithm outperforms the state-of-the-art methods in face recognition.