Sign Language To Text And Speech Conversion Using Image Processing And Machine Learning

Registration ID: IJNRD_191370

Published ID: IJNRD2304410

: http://doi.one/10.1729/Journal.34152

N. Harini, B. Geetha Vani, C. Kiranmai, K. Hemavathi, S. Shayastha

Sign Language Recognition, Hand Gesture Recognition, Image Processing, OTSU Method, Feature Detection, Feature Extraction, Naïve Bayes Classifier, Machine Learning.

Communication is crucial for understanding one another's feelings and thoughts. However, those who are mute or unable to hear or speak are unable to communicate their ideas or comprehend what others are saying. They can only understand sign language, and since many of us do not know sign language, communication has become quite difficult. With the advancement of technology, every issue may be solved. There is a way for deaf and dumb persons to communicate their thoughts and comprehend those of others through the use of machine learning and image processing. We are developing a human computer interface system in this project that accurately recognizes the language of the deaf and the dumb. As the hand plays a crucial role in communication, the vision-based hand gesture recognition system has been explored in this study. Various strategies for hand tracking, segmentation, feature extraction, and classification are mentioned. Webcams are used to record the images, which are then analyzed using image processing techniques like the OTSU method. The captured gestures are then classified using a linear classification algorithm. The gestures that were recorded are now saved in files with 120 copies of each gesture. Histograms are used to record image gesture.

Published Paper   E-Certificate

N. Harini, B. Geetha Vani, C. Kiranmai, K. Hemavathi, & S. Shayastha (April-2023). Sign Language To Text And Speech Conversion Using Image Processing And Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), e55-e59. http://doi.one/10.1729/Journal.34152

Volume 8 Issue 4, April-2023

Pages : e55-e59

Paper Reg. ID: IJNRD_191370

Published Paper Id: IJNRD2304410

Downloads: 000122255

Research Area: Engineering

Author Type: Indian Author

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304410.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304410

Crossref DOI: http://doi.one/10.1729/Journal.34152

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