Indian Sign Language Recognition Based on Gray Level Co-occurrence Matrix and 7Hu Moment
Umang Patel, G. Aarti · Communications on Applied Electronics · 2017
Communication is an important part of our day to day life.But it is very challenging for normal people to communicate with deaf, dumb &blind people & vice versa.This is because of a deaf, dumb need sign language for communication and normal people cannot understand sign language easily.Therefore there is a demand of converting and translating sign languages.This paper removes the barrier of communication between them.In this paper, hand gestures are captured, processed and then translated into speech & text.In the proposed method, two languages for a character as well as words are chosen namely English & Hindi.Feature extraction is done using moment technique and gray level co-occurrence matrix.Two classification techniques (PNN & KNN) are used & performance parameters are compared between both classifiers.