Mobile Application Based Translation of Sign Language to Text Description in Kannada Language

Mobile Application Based Translation of Sign Language to Text Description in Kannada Language

Gesture recognition

Image processing

Sign language

Video processing.

Sign language is a main mode of communication for vocally disabled. This language use set of representation which is finger sign, expression or mixture of both to express their information among others. This system presents a novel approach for mobile application based translation of sign action analysis, recognition and generating a text description in Kannada language. Where it uses two important steps training and testing. In training set of 50 different domains of video samples are collected, each domain contains 5 samples and assign a class of words to each video sample and it will be store in database. Where in testing test sample under goes preprocessing using median filter, canny operator for edge detection, HOG for feature extraction. SVM takes input as a HOG features and predict the class label based on trained SVM model. Finally the text description will be generated in Kannada language. The average computation time is minimum and with acceptable recognition rate and validate the performance efficiency over the conventional model.

Kagalkar, Ramesh M.

Gumaste, Shyamrao V

International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 2 (2018); pp. 92-112

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2018-03-29

Copyright (c) 2018 Ramesh M. Kagalkar

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article