Open AccessSign Language Detection Using Image Processing
Author(s) -
Vinnayak Sharma,
Khushbu Gupta,
Krishna Pratap Singh
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-836
Subject(s) - gesture , sign language , computer science , artificial intelligence , sign (mathematics) , classifier (uml) , set (abstract data type) , support vector machine , matlab , natural language processing , gesture recognition , speech recognition , computer vision , linguistics , programming language , mathematics , mathematical analysis , philosophy
Sign language is an effective means of communication for the deaf and dumb. But those who cannot understand this language find it almost impossible to get a grip of what the other person is trying to communicate. The proposed research helps non-sign-language speakers in identifying gestures used in Sign Language. The methodology described in this paper is implemented using MATLAB. In this method, firstly, the signs are captured with the help of a webcam. The images captured are then processed further and the features are extracted from the captured images using different structural features. Comparison of the features is done using SVM Classifier can use this document as both an instruction set and as a template into which you can type your own text.