Python Image Processing - Sign Language Recognition With Ensemble Learning - ClickMyProject

Sign language is a computer vision-based complete convoluted language that engrosses signs shaped by the movements of hands in combination with facial expressions. It is a natural language used by people with low or no hearing sense for communication. Sign language, as a different form of the communication language, is important to large groups of people in society. There are different signs in each sign language with variability in hand shape, motion profile, and position of the hand, face, and body parts contributing to each sign. So, visual sign language recognition is a complex research area in computer vision. Sign language for communication is efficacious for humans, and vital research is in progress in computer vision systems. The earliest work in Indian Sign Language (ISL) recognition considers the recognition of significant differentiable hand signs and therefore often selecting a few signs from the ISL for recognition. This paper deals with robust modelling of static signs in the context of sign language recognition using deep learning-based convolutional neural networks (CNN). The project makes various voice controlled virtual assistants respond to hand gestures and also produces results in form of text outputs. The system is developed the deep learning algorithm such as CNN (VGG19). The experimental results shows that, the predicted results will be converted to speech and stored in ‘.mp3’ file.

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