Indian Sign Language Recognition

Author:

Maben Ashwitha Anjali1,Shetty Prajna1,Salian Mamatha1

Affiliation:

1. Computer science and Engineering, Srinivas Institute of Technology, Mangalore, Karnataka, India

Abstract

The paper focuses on designing and developing an user interface to help out the dumb community in making a better use of their gestures. It mainly deals with making services of the hand gestures to be easily accessible and understandable to by the people using sign languages. This system makes use of data collected from standards of Indian Sign Languages (ISL). The system is built using machine learning tools, TensorFlow library. The result of this project is to translate the gestures into the texts and return it to the web interface. The sole reason of this project is to help the individual with speech and hearing impairment.

Publisher

Technoscience Academy

Subject

General Medicine

Reference7 articles.

1. Ashish G. Bairagi, Y.D. Kapse P.G. Student, Department of E&TC Engineering, GCOEJ, Jalgaon, Maharashtra, “Survey on Sign language to Speech Conversion”, International Journal of Innovative Research in Computer and Communication Engineering, 2018.

2. Abhishek Jain, Lakshita Jain, Ishaan Sharma, Abhishek Chauhan, TECH, Department Of ECE, SRMIST,” Image Processing Based Speaking System For Mute People Using Hand Gestures”, International Journal Of Engineering Sciences & Research Technology, 2018.

3. Bhavsar Swapna1, Futane Pravin1 and V. Dharaskar Rajiv, Sinhagad college of engineering, Pune University,” Hand Gesture Recognition System for Numbers Using Thresholding”, Research Center Amravati University Amravati, India, 2018.

4. V.Padmanabhan, M.Sornalatha,” Hand gesture recognition and voice conversion system for dumb people”, International Journal of Scientific & Engineering Research, 2014.

5. Aruljothy, Arunkumar, Ajitraj, Yayad Damodran, Jeevanantham, Dr.M.Subba, UG Scholar, Department of Instrumentation and Control Engineering, Sri Manakula Vinayagar Engineering College, Puducherry,” Hand Gesture Recognition Using Image Processing for Visually Impaired and Dumb Person”, International Journal of Advanced Research in Computer and Communication Engineering ISO, 2014.

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