Collaborative facial color feature learning of multiple color spaces for face recognition

Facial color is known as playing an important role in face recognition. Color face recognition has been investigated in the last decade. Recently, deep learning has attracted considerable attention due to their high performance in face recognition. The importance of the color in a deep learning framework is not fully investigated yet. In this paper, we have conducted experiments to investigate the effectiveness of facial color in face recognition with deep learning. Through experimental results, we have demonstrated that facial color is helpful for enhancing the recognition performance in deep learning and color space selection is crucial to achieve high performance. Moreover, by fusing features from multiple color spaces, the face recognition accuracy has been considerably improved.