Indian Sign Language Recognition System

Indian Sign Language Recognition System
Author(s):
Amruta Amol Bhawarthi, Yash Kate, Tarun Kasliwal, Manas Kasodekar, Soham Kasurde, Siddhant Kaswa, Vedant Kate
Keywords:
Python, object detection, Indian Sign Language, Image labelling, TensorFlow
Abstract
The Indian Sign Language (ISL) Recognition System is a system designed to recognize and interpret ISL gestures made for individuals with hearing and speaking impairments. This system aims to improve communication between the deaf and mute communities. The system utilizes computer vision and machine learning techniques to analyze and categorize the ISL gestures into corresponding words. The system has been trained on a large dataset of ISL gestures to improve its accuracy. The recognition process involves capturing the ISL gestures via a camera, pre-processing the captured data, and passing it through a machine learning model to make a prediction. The system can be used in various applications such as sign language translation, sign language learning, and accessibility technology for the deaf.
Article Details
Unique Paper ID: 160233 Publication Volume & Issue: Volume 10, Issue 1 Page(s): 227 - 229
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