An Implementation of Static Devnagri Sign Language Recognition |
Author(s): |
| Versha Verma , Faculty of Engineering and Technology, SSTC-SSGI, Junwani, Bhilai, C.G.; Sandeep B. Patil, Faculty of Engineering and Technology, SSTC-SSGI, Junwani, Bhilai, C.G. |
Keywords: |
| Hand Gesture Recognition, Devnagri Sign Language Recognition, Human Computer Interaction, Feature Extraction, Edge Oriented Histogram |
Abstract |
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In this result paper, we are going to implement communication medium between deaf-dumb, physically impaired people and a normal person have always been a challenging task. Sign language uses different means of expression for communication in everyday life. We propose the Devnagari sign language recognition system which aims to eradicating the communication barrier between them by developing a system in order to translate hand gesture into textual format without any requirement of special sign language interpreter. This paper presents a translation system using manual gestures for alphabets in Devnagari sign language. At first the objective is to develop a database for Devnagari sign language. This sign language recognition system can also be useful for helping two people who know two different languages for the same problem. There are we used static hand gesture based sign language recognition for Deaf and Dump communication System. Many researchers use only single American Sign Language or Indian Sign Language for create their database. In this paper recent research of sign language are implemented based on a hand gesture based Devnagri Sign Language for recognize a Hindi character using hand gesture of Deaf-Dumb people. |
Other Details |
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Paper ID: IJSRDV5I70254 Published in: Volume : 5, Issue : 7 Publication Date: 01/10/2017 Page(s): 491-495 |
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