Robust identification of persons by lips contour using shape transformation
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
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This paper presents a method to extract the outer contour of lip based on manifold without lip model. As we all know, the red exclusion and color transform methods are used widely to extract the lip for their simplicity. Lots of modified method and some clustering method are proposed too, but most of these methods are based on the distribution of color difference or correlation between lip and skin. They can only extract the raw lip area not the contour of the lip. The edge of the lip is very important for the correction of extracted features, the quality of these features determine the application related to lip, such as lip reading and speaker identification. Based on the fact that the mouth area has high edge content and the change in lip contour is bigger than in other area, this paper uses the change of color components and based it on the frame of manifold to get the edge of the lip. The experimental results show that the proposed method is more effective in extraction outer contour of lip and more robust than red exclusion.