International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Sign Language Detection |
|---|---|
| ABSTRACT | A lack of knowledge of sign language hampers communication between hearing, impaired people and the general public. This project presents a real, time sign language recognition system that interprets hand gestures into text and speech with the help of computer vision and deep learning. A CNN model trained on MediaPipe hand landmarks enables accurate, reliable, and cheap gesture recognition without the need for any specialized hardware |
| AUTHOR | DR. LATHA B M, MANU GANDHI, CHANDU A M, DHARSHAN H B, DHEERAJ PATEL K S Professor and Head, Dept. of CSE, Jain Institute of Technology, Davangere, India UG Students, Dept. of ISE, Jain Institute of Technology, Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312151 |
| pdf/151_Sign Language Detection.pdf | |
| KEYWORDS | |
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