Automatic recognition of bangla sign language using artificial neural networks (anns) for deaf and dumb to bridge the communication gap

Sign Language is the mode of communication among the deaf and dumb. However, integrating them into the main stream is very difficult as the majority of the society is unaware of their language. So, to bridge the communication gap between the hearing and speech impaired and the rest in Bangladesh, we conducted a research to recognize Bangla sign language using a computer-vision based approach. To achieve our goals we used Artificial Neural Networks to train individual signs. In the future, this research, besides helping as an interpreter, can also open doors to numerous conveniently other applications like sign language tutorials or dictionaries and also help the deaf and dumb to search the web or send mails more.