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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40567

Conversion of Sign Language into Text

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40567

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40567

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NBB

Neelakantappa B B

AN

Akshatha N

AMR

Amrutha M R

ASK

Anusha S K

AT

Arshiya Tasneem

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Abstract

Abstract–This project is based on mark creation of new system which will be capable to translate sign language in the text which will helpful for the hearing impaired and Speech impaired people for better communication. With reference to state of art computer vision processes along with machine learning and deep learning the proposed system detects the sign language gesture in real time. It is for this reason that the primary objective of this solution is to reduce exclusion of sign language users from other individuals within their community and develop the most convenient, efficient, and stable means of turning gestures into words.

KEYWORDS

Sign language recognition text conversion com- puter vision machine learning deep learning real time gesture recognition assistive technology for communication use of ar- tificial sign language for hearing and speech impaired human computer interface.

Cite This Article

Neelakantappa B B, Akshatha N, Amrutha M R, Anusha S K, Arshiya Tasneem, "Conversion of Sign Language into Text," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40567

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Publication Date

6/30/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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