Image Based Sign Language Recognition using Neuro - Fuzzy Approach

Authors(2) :-Hemina Bhavsar, Dr. Jeegar Trivedi

Sign language is the language of deaf & dumb people. They expressed their thoughts in the form of sign language. This paper proposed sign language recognition (SLR) system which is the computerized system useful for translation of sign language into English language in the form of text. It will be use video data of deaf & dumb people and translate into English text. Proposed system recognizes both hand movements including face. Various image processing techniques are defined in this paper which will use for process the images. Convex hull feature extraction method will be applied for extract features which will classify by Neuro-Fuzzy classification approach. Recognized words will be inputted into NLP (Natural Language Processing) engine to format into the sentence.

Authors and Affiliations

Hemina Bhavsar
Department of Computer Science, S. S.Agrawal Institute of Computer Science, Navsari , Gujarat, India
Dr. Jeegar Trivedi
Department of Computer Science, Sardar Patel University Anand, Gujarat, India

NLP, SLR

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 487-491
Manuscript Number : CSEIT183179
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Hemina Bhavsar, Dr. Jeegar Trivedi, "Image Based Sign Language Recognition using Neuro - Fuzzy Approach", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.487-491, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT183179

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