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  Published Paper Details:

  Paper Title

Number Sign Recognition Using Opencv, Keras And Cnn

  Authors

  Shreyas.T.P,  Utkarsh.U

  Keywords

keras, OpenCV and CNN

  Abstract


Sign language is a communication method that is mainly used by people with hearing or speaking disabilities. Number sign language recognition is an important task in sign language recognition. We are proposing a model of number sign language recognitions by OpenCV, Keras, and CNNs. We have achieved 100% accuracy in ideal conditions. The images captured are converted to black and white for training and predicting purposes while showing a coloured feed. The image sizes are 64x64 and there are two layers of convolution. The proposed model can be used for real-time recognition of number sign language.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2307266

  Paper ID - 237122

  Page Number(s) - c262-c265

  Pubished in - Volume 11 | Issue 7 | July 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Shreyas.T.P,  Utkarsh.U,   "Number Sign Recognition Using Opencv, Keras And Cnn", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 7, pp.c262-c265, July 2023, Available at :http://www.ijcrt.org/papers/IJCRT2307266.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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