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Indian Sign Language Recognition Based on Gray Level Co-occurrence Matrix and 7Hu Moment
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 7 - Number 4 |
| Year of Publication: 2017 |
| Authors: Umang Patel, Aarti G. Ambekar |
10.5120/cae2017652649
|
Umang Patel, Aarti G. Ambekar . Indian Sign Language Recognition Based on Gray Level Co-occurrence Matrix and 7Hu Moment. Communications on Applied Electronics. 7, 4 ( Jul 2017), 44-49. DOI=10.5120/cae2017652649
Abstract
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.
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