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  Published Paper Details:

  Paper Title

AIR-WRITING ALPHANUMERIC CHARACTER RECOGNITION

  Authors

  Saranya M,  Kariketi Tharun Reddy,  Madhumitha Raju,  Uthala Manoj

  Keywords

Hand writing recognition, hand writing classification, computer vision, machine learning, convolutional neural networks.

  Abstract


Our project develops a system that can recognise the air-written words in 3D space, and then classify the recognised character into one of the possible classes. Air-writing is the new way of writing the linguistic characters or words in free area using hand or finger movements. Writing within the air may be a method to jot down one thing in an exceedingly 3D house with our finger-tip. This project could be a combination of computer vision object chase and handwriting recognition machine learning. The air writing recognition system uses the digital camera of a pc to trace character digits written within the air by the user and then uses a convolutional neural network to classify the character and digits into one of the possible classes. Several current systems use advanced and high-priced chase setups to realize gesture recognition, however, we tend to get to form a system that may attain a similar work with a far cheaper setup.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207340

  Paper ID - 223370

  Page Number(s) - c548-c559

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.30978

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Saranya M,  Kariketi Tharun Reddy,  Madhumitha Raju,  Uthala Manoj,   "AIR-WRITING ALPHANUMERIC CHARACTER RECOGNITION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.c548-c559, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207340.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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