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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A SIGN TO TEXT LANGUAGE TRANSLATOR USING OPENCV |
| Authors Name: | Sai Harshitha Aluru , Avuku Obulesh , Tejaswi Sattarshetty , Yalamaddi Keerthi Chowdary , Zaib Unnisa Nayeem |
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IJNRD_213293
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| Published Paper Id: | IJNRD2402011 |
| Published In: | Volume 9 Issue 2, February-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | CNN, ANN, Keras, OpenCV, Tensorflow |
| Cite Article: | "A SIGN TO TEXT LANGUAGE TRANSLATOR USING OPENCV", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a80-a86, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402011.pdf |
| Downloads: | 000118778 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2402011 Registration ID: 213293 Published In: Volume 9 Issue 2, February-2024 DOI (Digital Object Identifier): Page No: a80-a86 Country: Hyderabad, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2402011 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2402011 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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