Analysis of efficient lip reading method for various languages

The traditional researches targeted at only one language, and there is no research to refer the language and recognition method. Moreover, a lot of model-based methods use only an external lip or intraoral region, and tooth or tongue region is not reflected to the feature. This paper describes analysis of efficient lip reading method for various languages. First, we applies active appearance model, and simultaneously extracts the external and internal lip contour. Then, the tooth and intraoral regions are detected. Various features from five regions are fed to the recognition process. We set four languages to be the recognition target, and recorded twenty words per each language. As the result, proposed trajectory feature based on three shape features, the area and aspect ratio of internal lip region, and area of intraoral region, was obtained the highest recognition rates of 93.6%, compared with the traditional methods and other regions.