A SIGN TO TEXT LANGUAGE TRANSLATOR USING OPENCV

Registration ID: IJNRD_213293

Published ID: IJNRD2402011

DOI: Click Here to Get

Sai Harshitha Aluru , Avuku Obulesh , Tejaswi Sattarshetty , Yalamaddi Keerthi Chowdary , Zaib Unnisa Nayeem

CNN, ANN, Keras, OpenCV, Tensorflow

This research paper introduces a project on developing an efficient Sign-to-Text Language Translator with a specific focus on Indian Sign Language (ISL), utilizing OpenCV, Computer Vision, and Neural Networks. The primary goal is to bridge communication gaps for deaf-mute individuals by providing real-time interpretation of ISL gestures, converting them into text for broader societal understanding. The system employs a two-layered approach, incorporating a Convolutional Neural Network (CNN) for accurate and real-time gesture prediction. The research involves an in-depth analysis of various ISL gestures, exploring machine learning algorithms and deep learning techniques to enhance gesture recognition accuracy. Custom data sets are generated using OpenCV, and the CNN model comprises multiple layers, including Re-LU activation, max pooling, dropout layers, and the Adam optimizer. Additionally, the methodology integrates innovative features such as finger spelling sentence formation and an Auto Correct mechanism, enhancing the overall functionality and usability of the system. With a commitment to addressing communication challenges faced by the deaf-mute community, this research strives to advance sign language translation, fostering inclusively through cutting-edge technologies.

Published Paper   E-Certificate

Sai Harshitha Aluru, Avuku Obulesh, Tejaswi Sattarshetty, Yalamaddi Keerthi Chowdary, & Zaib Unnisa Nayeem (February-2024). A SIGN TO TEXT LANGUAGE TRANSLATOR USING OPENCV. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), a80-a86. https://ijnrd.org/papers/IJNRD2402011.pdf

Volume 9 Issue 2, February-2024

Pages : a80-a86

Paper Reg. ID: IJNRD_213293

Published Paper Id: IJNRD2402011

Downloads: 000121981

Research Area: Computer Science & Technology 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402011.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402011

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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