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  Published Paper Details:

  Paper Title

SIGN LANGUAGE DETECTION USING DEEP LEARNING

  Authors

  Seelam Naga Parameswara Reddy,  Chitrala Himavanth Sai Ram,  Shaik Mansur,  K.Pandiaraj

  Keywords

Deep Learning, Sign Language, Convolution Nueral Network

  Abstract


Sign language is a somewhat complex language for normal people as they are no longer aware. Therefore, this can be quite difficult when a person is trying to talk to someone with physical disabilities such as the mute and the deaf. So imagine a technique that will allow you to recognize sign language. without knowing the actual language. This can help people recognize those who are facing physical challenges, a set of rules that uses image processing to detect how the hands are aligned, where this alignment is diagnosed from predefined data sets that we create and the textual content is diagnosed and then immediately displayed on the screen. it will make them less difficult to see.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2110228

  Paper ID - 212577

  Page Number(s) - b897-b899

  Pubished in - Volume 9 | Issue 10 | October 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Seelam Naga Parameswara Reddy,  Chitrala Himavanth Sai Ram,  Shaik Mansur,  K.Pandiaraj,   "SIGN LANGUAGE DETECTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.b897-b899, October 2021, Available at :http://www.ijcrt.org/papers/IJCRT2110228.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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