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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: | Sign Language To Text And Speech Conversion Using Image Processing And Machine Learning |
| Authors Name: | N. Harini , B. Geetha Vani , C. Kiranmai , K. Hemavathi , S. Shayastha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_191370
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| Published Paper Id: | IJNRD2304410 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | http://doi.one/10.1729/Journal.34152 |
| Abstract: | Communication is crucial for understanding one another's feelings and thoughts. However, those who are mute or unable to hear or speak are unable to communicate their ideas or comprehend what others are saying. They can only understand sign language, and since many of us do not know sign language, communication has become quite difficult. With the advancement of technology, every issue may be solved. There is a way for deaf and dumb persons to communicate their thoughts and comprehend those of others through the use of machine learning and image processing. We are developing a human computer interface system in this project that accurately recognizes the language of the deaf and the dumb. As the hand plays a crucial role in communication, the vision-based hand gesture recognition system has been explored in this study. Various strategies for hand tracking, segmentation, feature extraction, and classification are mentioned. Webcams are used to record the images, which are then analyzed using image processing techniques like the OTSU method. The captured gestures are then classified using a linear classification algorithm. The gestures that were recorded are now saved in files with 120 copies of each gesture. Histograms are used to record image gesture. |
| Keywords: | Sign Language Recognition, Hand Gesture Recognition, Image Processing, OTSU Method, Feature Detection, Feature Extraction, Naïve Bayes Classifier, Machine Learning. |
| Cite Article: | "Sign Language To Text And Speech Conversion Using Image Processing And Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e55-e59, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304410.pdf |
| Downloads: | 000118770 |
| 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:IJNRD2304410 Registration ID: 191370 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34152 Page No: e55-e59 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304410 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304410 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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