Six key points lip's feature extraction using adaptive threshold segmentation

Key points of lip give important cues of lip shape. The application of lip's shape tracking could be used for speech recognition, lip reading and many multimedia applications. In this paper, a novel adaptive threshold segmentation for six key points lip's feature extraction algorithm is proposed. First, Viola Jones method is used to detects face in an image frame, after that the ROI of mouth is set. Color transformation in RGB space and adaptive threshold are used for lip segmentation. Further step, contour of the segmented lip is defined and filled in with certain color. Finally, the six key points, which are left and right corners, lower point, and three points of the Cupidon's bow of lip are scanned. The performance of the proposed method is satisfactory and compared with existing methods it brings a significant improvement in accuracy.