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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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Published Paper Details
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| Paper Title: | Sign Language Detection Using Python, OpenCV and Deep Learning |
| Authors Name: | Deepika , Vishvani Jilukara , Pranay Neela , Varun Kumar Thummalapally |
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IJRTI_189679
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| Published Paper Id: | IJRTI2404102 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | An efficient American Sign Language (ASL) translator system has been developed to support individuals with communication disabilities, such as those who are Deaf and Mute (D&M). This system relies on OpenCV and advanced computer vision techniques, along with neural networks, to facilitate real-time interpretation of ASL gestures into both text and speech, thereby enhancing social integration and understanding. The system employs a dual-layer approach, incorporating a Convolution Neural Network (CNN) designed for precise gesture recognition. In-depth research into ASL gestures, combined with sophisticated deep learning strategies, significantly boosts the accuracy of gesture detection. Using OpenCV, custom datasets have been created and utilized to train the CNN, which features layers with ReLU activation, max pooling, dropout layers, and employs the Adam optimizer. Key innovative aspects of this system include the ability to generate sentences from finger-spelling and an automatic correction mechanism that uses text inputs to refine outputs. This enhances the system’s functionality and user experience. This project demonstrates a commitment to overcoming communication barriers for the deaf community, marking a significant advancement in sign language interpretation technology, and promoting inclusivity in society. |
| Keywords: | American Sign Language, Deaf and Mute, Convolutional Neural Networks, OpenCV, Computer Vision, Deep learning, Sign to text and speech, fingerspelling, Hand Gesture Recognition. |
| Cite Article: | "Sign Language Detection Using Python, OpenCV and Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.738 - 747, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404102.pdf |
| Downloads: | 000205282 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2404102
Registration ID:189679
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 738 - 747 Country: Hyderabad, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404102 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404102 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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