Hand Gesture Recognition to Help Mute and Deaf People Using Image Processing

Hand gestures are an important aspect of communication for both hearing and non-hearing people. However, for mute and deaf individuals, sign language is their primary mode of communication. In this paper, we propose a system that recognizes hand gestures to aid communication between hearing and non-hearing individuals. The system employs image processing techniques to recognize hand gestures and translates them into text or speech which can be understood by both hearing and non-hearing individuals. The system is designed to use a camera to capture images of hand gestures, and then processes those images using various image processing techniques such as thresholding, skin color detection, and contour detection. The system then applies Image Processing algorithms to classify the hand gestures and translate them into text or speech. Our experimental results show the effectiveness of the proposed system in recognizing hand gestures and aiding communication between hearing and non-hearing individuals