Abstract
Lip Reading or Speech recognition is a visual way of communicating. It depends on watching the speaker's mouth; Especially his lips to understand the letters and words of the speaker. Through the visual image (the form of the expression of the mouth) and the movement of the lips, visual recognition of spoken letters, words, and sentences is made; Gestures and expressions on the face. the position of the mouth and its extracted features help to understand the visual speech more clearly. Researchers are always trying to find the new methods to increase the efficiency of the lip reading systems. for this reason, This paper presents a lip localization. based face detection &features extraction strategy to segment mouth region from input video frames. we have used RGB &HSV color model along with modified channel factor and then applying more edge detection techniques and morphological operations to be a new one of the visual speech recognition tools.
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