The　paper　proposes　a　kind　of　visual　speech　feature　for　the　speaking　mouth　images　from　the　video　combining　clues　of　the　shape　and　local　teeth　texture.　The　geometric　feature　we　proposed　based　on　the　computing　the　Euclidian　distant　between　each　the　feature　point　around　the　inner　and　outer　lip.　The　local　texture　with　G　and　B　components　as　baseline　is　employed　to　calculate　the　color　moment　to　describe　the　visibility　of　teeth.　The　weighted　fusion　is　used　to　combine　the　two　features.　The　k-mean　algorithm　is　utilized　to　analyze　the　feature　performance　according　to　evaluate　the　clustering　results.　The　results　show　that　with　G　and　B　color　component　to　derive　the　local　texture　to　model　the　teeth　visibility　are　better　than　the　others　and　our　feature　has　higher　ability　to　perceive　the　visemes　than　the　PCA　and　geometric　feature　only.　©2010　IEEE.