SIGN LANGUAGE RECOGNITION

Sakshi Bhaskar Vannam , Purvesh Wagh

sign language recognition, hand tracking, hand gesture recognition, gesture analysis.

Sign language is used by deaf and hard hearing people to exchange information between their own community and with other people. Computer recognition of sign language deals from sign gesture acquisition and continues till text/speech generation. Sign gestures can be classified as static and dynamic. However static gesture recognition is simpler than dynamic gesture recognition but both recognition systems are important to the human community. The sign language recognition steps are described in this survey. The data acquisition, data preprocessing and transformation, feature extraction, classification and results obtained are examined. Some future directions for research in this area also suggested.

Published Paper   E-Certificate

"SIGN LANGUAGE RECOGNITION", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.b762-b785, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606205.pdf

Volume 4 Issue 6, June-2026

Pages : b762-b785

Paper Reg. ID: JETNR_235085

Published Paper Id: JETNR2606205

Downloads: 00047

Research Area: Other area not in list

Country: Pune, Maharashtra, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2606205

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2606205

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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