Sign Language recognition using Tensorflow-Keras

Registration ID: IJNRD_191325

Published ID: IJNRD2305018

: Click Here to Get

Sowmiya S.R, Sathiyavani E, Soundarya M, Kaushica K, Brindha P

Vision-Based Approach, Communication, TensorFlow, Keras, CNN, Gestures.

Communication through signing is a fundamental instrument for individuals who haven't gotten the endowment of talking and tuning in. Ordinary individuals for the most part do not learn gesture-based communication to speak with hearing/discourse-hindered individuals. Likewise, every time these diversely abled individuals can't keep a human interpreter with them. This makes a correspondence hole among typical and hearing/discourse-disabled individuals. So, to overcome this issue, different gesture-based communication interpreters and acknowledgment methods have been created which are talked about in this paper. we got the inspiration to do this project from persons who are facing the difficulties of hearing impairment. So, we decided to derive a solution for this problem. In this paper, we propose a TensorFlow-Keras which is the model of CNN to manage this issue. TensorFlow is the most broadly utilized system because its adaptability additionally gives great comfort to troubleshooting TensorFlow applications. It very well may be considered a decent programming framework where tasks are sent as charts. Here, we used the Convolutional Neural Network for processing the images of the gestures. The Experimental results of our projects bring about our task show of agreeable recognizable proof of motions under different increase strategies. Besides, the proposed approach just requires a tiny number of preparing ages to accomplish 96.29 percent exactness.

Published Paper   E-Certificate

Sowmiya S.R, Sathiyavani E, Soundarya M, Kaushica K, & Brindha P (May-2023). Sign Language recognition using Tensorflow-Keras. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a133-a139. https://ijnrd.org/papers/IJNRD2305018.pdf

Volume 8 Issue 5, May-2023

Pages : a133-a139

Paper Reg. ID: IJNRD_191325

Published Paper Id: IJNRD2305018

Downloads: 000122254

Research Area: Science & Technology

Author Type: Indian Author

Country: Perambalur, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305018.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305018

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

UGC CARE JOURNAL PUBLICATION | 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

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 12 | December 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: December 2025

Current Issue: Volume 10 | Issue 12 | December 2025

Impact Factor: 8.76

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

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details