Study on Color Spaces for Single Image Enrolment Face Authentication

We propose in this paper to study different color spaces for representing an image for the face authentication application. We used a generic algorithm based on a matching of keypoints using sift descriptors computed on one color component. Ten color spaces have been studied on four large and significant benchmark databases (ENSIB, FACES94, AR and FERET). We show that all color spaces do not provide the same efficiency and the use of the color information allows an interesting improvement of verification results.