Video gestures identification and recognition using Fourier descriptor and general fuzzy minmax neural network for subset of Indian sign language

Sign languages are natural languages that use to communicate with deaf and mute people. There exist different sign languages in the world. But we focused on Indian Sign Language which is on the way of standardization & very less work has been done on it so far. We have focused on Indian sign language history and progress in this domain and work carried out by various researchers in Indian Sign language recognition. Also we have proposed an approach that will convert the video of full sentence gesture of Indian sign language to text. It will initially identify individual words from the video & convert them on to text. Finally, the system will process those words to form a meaningful sentence in compliance with the simple grammar rules.