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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 11, NOVEMBER 2016

Gesture Recognition using Marathi/Hindi Alphabet

Monika Dangore, Rakshit Fulzele, Rahul Dobale, Shruti Girolla, Seoutaj Singh

DOI: 10.17148/IJARCCE.2016.51191

Abstract: In this paper, we are going to implement communication between deaf-dumb 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 Marathi 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 Marathi sign language. At first the objective is to develop a database for Marathi sign language. This sign language recognition system can also be useful for helping two people who know two different languages for the same problem. The output of a system is displayed using speaker and mobile.



Keywords: Marathi alphabets, sign language, hand gestures, web-camera, HSV image, colour based hand extraction, the centre of gravity.

How to Cite:

[1] Monika Dangore, Rakshit Fulzele, Rahul Dobale, Shruti Girolla, Seoutaj Singh, “Gesture Recognition using Marathi/Hindi Alphabet,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51191