Sign Language Recognition
A sign language detection or recognition web framework is proposed with the help of image processing that could be used in schools or any place, which would make the communication process easier between the impaired and non-impaired people.
Abstract
Abstract: Communication through signs has consistently been a significant way for communication among hearing and speech impaired humans, generally called deaf and dumb. It is the only mode of communicating for such individuals to pass on their messages to other human beings, and hence other humans need to comprehend their language. In this project, a sign language detection or recognition web framework is proposed with the help of image processing. This application would help in recognizing Sign Language. The dataset used is the Sign Language dataset. This application could be used in schools or any place, which would make the communication process easier between the impaired and non-impaired people. The proposed method can be used for the ease of recognition of sign language. The method used is Deep Learning for image recognition and the data is trained using Random Forest. Using this method, we would recognize the gesture and predict which sign is shown