Transforming Expression into Language American Sign Language Recognition with Image Processing

The project "Transforming Expression into Language: American Sign Language Recognition using Image Processing" intends to employ image processing techniques to identify gestures in American Sign Language (ASL). The goal of this project is to develop an efficient system for translating ASL signs using visual cues generated from hand motions and gestures. The program intends to use image processing technology to bridge the communication gap between ASL users and nonusers. The use of image processing for ASL identification may improve communication in a range of situations while also increasing accessibility for the deaf community. The paper provides a realistic approach to real-time ASL motion interpretation using image processing techniques, thereby advancing the field of sign language recognition technology. KEYWORDS ASL Recognition, Image Processing Techniques, Convolutional Neural Networks (CNNs), Feature Extraction in Image Processing, Transforming Expressions into Text