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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 : 10
Issue Published : 113
Article Submitted : 17768
Article Published : 7665
Total Authors : 20305
Total Reviewer : 744
Total Countries : 138
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Published Paper Details
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| Paper Title: | Multi-Class Classification Using Deep-Learning Techniques on Hand-Written Characters |
| Authors Name: | L Nakshatra Reddy , Dr. Manoranjan Dash , A Hemanth Kumar , K Rojana Reddy |
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IJRTI_187142
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| Published Paper Id: | IJRTI2306027 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | We can express our thoughts through writing, a thorough form of communication. Nowadays, most information is recorded through writing or typing. Shapes or letters are created with a pen or finger in a relaxed setting. The computer process of gesture recognition uses mathematical algorithms to try to recognise and understand human gestures. The project takes advantage of this gap to create motion-to-text converters that may be used as software for writing in the air. With the aid of hand motions, users of the cutting-edge technology known as "air canvas" may create digital artwork in the air. Users of the Air Canvas program can reliably identify and interpret hand gestures using cutting-edge computer vision and machine learning techniques, which enables them to sketch, paint, and manipulate objects in 3D space. Air Canvas has the potential to revolutionise the way people create digital artwork, providing a new level of interactivity and creativity. The system can be utilised in various domains, including education, entertainment, and design. The program will use computer vision to track finger movement. It will be a useful way for the deaf to communicate. |
| Keywords: | Artificial Neural Network, Convolutional Neural Network, Convolutional Auto-Encoder, Computer Vision, Deep Neural Network, Machine Learning, Visual Geometry Group 16, Open Source Computer Vision library. |
| Cite Article: | "Multi-Class Classification Using Deep-Learning Techniques on Hand-Written Characters ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.144 - 149, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306027.pdf |
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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: IJRTI2306027
Registration ID:187142
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 144 - 149 Country: Snagareddy, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306027 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306027 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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