Review: Hand Motion Translator for Speech and Hearing Impaired using Image Processing

Deaf & Dumb peoples in our community are always and commonly facing a common problem that is interaction with normal peoples, its very difficult to understand what they want to say and vice versa…… the person on which we depend for this is INTERPRETER [the mediator person]. The proposed system is a cost-effective and possible to minimize the distance between deaf and dumb people with normal people, this system captures the hand signs and compare with existing database and then accordingly converts into text followed by speech in a commonly spoken language like English. This system is using an Image Processing algorithm which processes the detection and extraction of the input hand gesture from the image stream. In this system we are using functions like skin color based thresholding, contour detection and convexity defect (convex hull) for detection of hands and identification of important points on the hand respectively. The distance between these contour points from the centroid of the hand becomes our feature vector against which we will train our neural network.