In spite of the positive role of colour features in pixel domain face recognition systems, previous recognition approaches in JPEG compressed domain have been proposed in grey space. In this study, for the first time, we investigated the effects of JPEG compressed colour features on the efficiency of the state-of-the-art approaches in this domain. To achieve this, a comprehensive set of experiments have been conducted on colour FEI facial database. PCA and ICA methods have been used for extracting feature vectors and reducing the dimension of the extracted features. The results in colour space have been compared with those in grey space and showed the benefit of using the colour features in JPEG compressed domain face recognition in terms of recognition performance. It has also been observed an increase in the class separation and discriminatory power using colour compressed domain features over features extracted in grey space.