Paper Title

A SIGN TO TEXT LANGUAGE TRANSLATOR USING OPENCV

Article Identifiers

Registration ID: IJNRD_213293

Published ID: IJNRD2402011

DOI: Click Here to Get

Authors

Sai Harshitha Aluru , Avuku Obulesh , Tejaswi Sattarshetty , Yalamaddi Keerthi Chowdary , Zaib Unnisa Nayeem

Keywords

CNN, ANN, Keras, OpenCV, Tensorflow

Abstract

This research paper introduces a project on developing an efficient Sign-to-Text Language Translator with a specific focus on Indian Sign Language (ISL), utilizing OpenCV, Computer Vision, and Neural Networks. The primary goal is to bridge communication gaps for deaf-mute individuals by providing real-time interpretation of ISL gestures, converting them into text for broader societal understanding. The system employs a two-layered approach, incorporating a Convolutional Neural Network (CNN) for accurate and real-time gesture prediction. The research involves an in-depth analysis of various ISL gestures, exploring machine learning algorithms and deep learning techniques to enhance gesture recognition accuracy. Custom data sets are generated using OpenCV, and the CNN model comprises multiple layers, including Re-LU activation, max pooling, dropout layers, and the Adam optimizer. Additionally, the methodology integrates innovative features such as finger spelling sentence formation and an Auto Correct mechanism, enhancing the overall functionality and usability of the system. With a commitment to addressing communication challenges faced by the deaf-mute community, this research strives to advance sign language translation, fostering inclusively through cutting-edge technologies.

How To Cite

"A SIGN TO TEXT LANGUAGE TRANSLATOR USING OPENCV", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a80-a86, February-2024, Available :https://ijnrd.org/papers/IJNRD2402011.pdf

Issue

Volume 9 Issue 2, February-2024

Pages : a80-a86

Other Publication Details

Paper Reg. ID: IJNRD_213293

Published Paper Id: IJNRD2402011

Downloads: 000121195

Research Area: Computer Science & Technology 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402011.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402011

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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