Colour Feature Selection for Face Authentication

We address the problem of fusing colour information for face authentication. The performance of a face verification system in different colour spaces is experimentally studied first. The verification process is based on the normalised correlationmeasure within the LDA feature space. A sequential search approach which is in principle similar to the ”plus L and take away R” algorithm is then applied in order to find an optimum subset of the colour spaces. Using the proposed method, the performance of the system is considerably improved as compared to the intensity space. The proposed colour fusion scheme also outperforms the best colour space in different conditions.