A framework to recognize the sign language system for deaf and dumb using mining techniques

<span lang="EN-US">One way of communicating with the deaf is to speak sign language. The chief barrier little Indian language (ISL) research was diversity and variations in place. It essential learn communicate them. Most learning takes place peer groups. There are very few materials available for teaching signs. Thus, signing challenging learn. Fingerspelling first step used whenever there no appropriate or if signatory unfamiliar it. Sign tools currently use expensive external sensors. Through this project, we will take field further by collecting a dataset extracting functionally helpful information several supervised methods. Our current work presents four validated fold cross results multiple approaches. difference from previous that different figures our validation set than training four-fold cross-validations.</span>