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Double Handed Sign Language Recognition Using Convolution Neural Network Algorithm

  • Unique Paper ID: 168192
  • Volume: 11
  • Issue: 5
  • PageNo: 192-196
  • Abstract:
  • Sign language is manual communication commonly used by people who are deaf. Sign language is not universal; people who are deaf from different countries speak different sign languages. The gestures or symbols in sign language are organized in a linguistic way. Each individual gesture is called a sign. We have created a dataset from Double-Handed Indian Sign Language Characters image and preprocess data extract features from both the training and testing data set and used Convolution Neural Network algorithm for classification of data. Our model gives 90% accuracy and loss is 1.8%.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 192-196

Double Handed Sign Language Recognition Using Convolution Neural Network Algorithm

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