A novel facial expression recognition method using fast BEMD based edge detection

Traditionally, human facial expressions are recognized using standard images. These methods of recognition require subjective expertise and high computational costs. This article presents a novel facial expression recognition method using edge maps generated from standard images that can significantly improve computational efficiency. The edge maps are generated from a novel Bi-dimensional Empirical Mode Decomposition (BEMD) based edge detection method. In this paper, the BEMD edge detection algorithm is discussed, the facial expression decision metrics are developed, and detection results of facial expression databases are presented. The success rates of recognition suggest that the proposed method be a potentially efficient method for human facial expression detection and other similar recognition applications.