Numeric Devnagari Sign Language Translator using Two Hands Single Camera Approach

Authors(2) :-Jayshree Pansare, Maya Ingle

Recognition of Numeric Devnagari Sign Language (DSL) using Hand Gesture Recognition System (HGRS) has become an essential tool for hearing and speech impaired to interact with commonerís via a computer system. Our work is on the development of the proposed system Real-time Numeric Devnagari Sign Language Translator (RTNDSLT). The system architecture of RTNDSLT system is mainly comprised of five phases arranged in layered fashion from top to bottom. Vision-based, real-time and static RTNDSLT system works in cluttered background with mixed lighting conditions. This system focuses on fingertip recognition technique, Peak-and-Valley Detection algorithm, and Peak-Point Detection algorithm along with convex hull. RTNDSLT system achieves a recognition rate of 94.13% using Two Hands Single Camera approach and fingertip recognition technique.

Authors and Affiliations

Jayshree Pansare
Department of Computer Engineering, Modern Education Society's College of Engineering, S.P. Pune University, Pune, Maharashtra, India
Maya Ingle
School of Computer Science & Information Technology, Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh, India

Devnagari Sign Language (DSL), Fingertip Recognition Technique, Two Hands Single Camera approach, Cluttered Background, Devnagari Numbers

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-01-27
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 403-418
Manuscript Number : CSEIT183122
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jayshree Pansare, Maya Ingle, "Numeric Devnagari Sign Language Translator using Two Hands Single Camera Approach", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.403-418 , January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT183122

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