Open AccessSign Language Recognition System
Author(s) -
Pooja M R,
M Meghana,
Harshith Bhaskar,
Anusha Hulatti,
Praful Koppalkar,
M J Bopanna
Publication year - 2022
Publication title -
indian journal of software engineering and project management (ijsepm)
Language(s) - English
Resource type - Journals
ISSN - 2582-8339
DOI - 10.35940/ijsepm.c9011.011322
Subject(s) - computer science , sign language , gesture , face (sociological concept) , witness , sign (mathematics) , gesture recognition , artificial intelligence , speech recognition , computer vision , image (mathematics) , human–computer interaction , linguistics , programming language , mathematical analysis , philosophy , mathematics
We witness many people who face disabilities like being deaf, dumb, blind etc. They face a lot of challenges and difficulties trying to interact and communicate with others. This paper presents a new technique by providing a virtual solution without making use of any sensors. Histogram Oriented Gradient (HOG) along with Artificial Neural Network (ANN) have been implemented. The user makes use of web camera, which takes input from the user and processes the image of different gestures. The algorithm recognizes the image and identifies the pending voice input. This paper explains two way means of communication between impaired and normal people which implies that the proposed ideology can convert sign language to text and voice.