Paper Title
Gesture recognition using opencv
Article Identifiers
Authors
Priyadarsini R , Monisha N , Guruprasad S
Keywords
sign language,communicate,translate,real-time
Abstract
The project aims to provide an assistive technology for people who are deaf and dumb or hard of hearing and use sign language to communicate. This project uses computer vision and machine learning techniques to recognize and translate hand gestures into text cum speech in real-time
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How To Cite
"Gesture recognition using opencv", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g268-g270, May-2023, Available :https://ijnrd.org/papers/IJNRD2305632.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : g268-g270
Other Publication Details
Paper Reg. ID: IJNRD_196591
Published Paper Id: IJNRD2305632
Downloads: 000121117
Research Area: Computer Science & TechnologyÂ
Country: Others, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305632.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305632
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
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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