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 | Bidirectional Sign Language Translator |
|---|---|
| ABSTRACT | Communication is the cornerstone of human interaction, yet the hearing-impaired community often faces significant barriers due to the complexity of sign language and a lack of widespread understanding. This paper presents a real-time Sign Language Translator developed using Python and machine learning to bridge this gap. By integrating the Mediapipe library and Landmark module, the system achieves high-precision hand tracking and extracts 21 distinct hand landmarks. These features are processed using the Random Forest algorithm, which provides a robust and reliable classification engine for interpreting complex gestures. The system converts these signs into text or speech instantaneously, offering a seamless interface for natural communication. Leveraging additional libraries like OpenCV and Matplotlib for optimized video processing and visualization, the proposed solution provides an accessible, low-cost tool for fostering inclusivity. Experimental results demonstrate that the combination of landmark-based tracking and ensemble learning offers high accuracy and responsiveness, making it a viable assistive technology for diverse social and professional environments. |
| AUTHOR | DR. POORNIMA B, POOJA S N, POOJITHA C H, PRAJWALA P N, PREETHI S Professor and Head, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India U.G. Student, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312076 |
| pdf/76_Bidirectional Sign Language Translator.pdf | |
| KEYWORDS | |
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