Sign Language to Text Convertor Tool

Authors

  • Pranay Pathrabe
  • Umang Ghatbandhe
  • Sangita Mondal
  • Sejal Parmar
  • Pallavi Chaudhari

Keywords:

Feature Extraction, Artificial Neural Networks (ANN), Convolution Neural Network (CNN), Pooling, Dataset Generation, ROI, RGB, Text to Sign Recognition, Hand Gesture Detection, ReLU, Machine-Learning, python.

Abstract

signal language is one of the oldest and most natural shape of language for communique, however considering most people do no longer realize sign language and interpreters are very difficult to come back by we've give you an actual time method using neural networks for fingerspelling based American sign language. In our approach, the hand is first surpassed thru a clear out and after the clear out is carried out the hand is exceeded via a classifier which predicts the class of the hand gestures. Our technique gives 95.7 % accuracy for the 26 letters of the alphabet.

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Published

2022-05-15

How to Cite

Pranay Pathrabe, Umang Ghatbandhe, Sangita Mondal, Sejal Parmar, & Pallavi Chaudhari. (2022). Sign Language to Text Convertor Tool. International Journal of Progressive Research in Science and Engineering, 3(05), 50–56. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/562

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Section

Articles