Indian sign language recognition using convolutional neural network

HIGHLIGHTS

• who: Patil Rachana and collaborators from the Ramrao Adik Institute Of Technology, Nerul, India have published the research work: Indian Sign Language Recognition using Convolutional Neural Network, in the Journal: (JOURNAL)
• what: The work presented in paper is an exertion(extension) towards examining the difficulties in classification of characters in Indian Sign Language(ISL). The model has achieved accuracy about 95% This experiment shows accuracy about 98.3 percent.
• how: The input image was captured with a camera a filter for skin colour detection was applied and then a clustering procedure was used . . .
  

   

  

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