The main objective of this project is to help deaf and dumb people to communicate well to the world. Wherever communities of deaf-dumb people exist, sign languages have been developed. A sign language is a language, which uses hand gestures, and body movement to convey meaning, as opposed to acoustically conveyed sound patterns. Research in the sign language system has two well-known approaches are image processing technique and a data glove. The image processing uses the camera to capture the image/video. The main drawback of vision based sign language recognition System image acquisition process has many environmental Apprehensions such as the place of the camera, background Condition and lightning sensitivity. The user always needs camera Forever and cannot implement in public place. Another research approach is sign language recognition System using a data glove. In this approach, detection of Hand is eliminated by the sensor glove consists of a flex sensor an accelerometer.