Sign Language Recognition
DOI:
https://doi.org/10.18486/ijcsnt/10.1.130Keywords:
Sign Language Recognition, Computer Vision, Neural Networks, Gesture Recognition, Convolutional Neural Network, Image ProcessingAbstract
A person who is unable to speak or hear relies solely on sign language to communicate. People who are physically unable can use sign language to express their thoughts and feelings. In order to identify alphabets and movements in sign language, a novel technique is proposed in this work. We can identify the clues using computer vision and neural networks and output the right text.
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Copyright (c) 2021 Bhavana Bidakar, Giriraj Patil, Gouri Patil, Sandeep Iddalgave, Gouri Patil, Sandeep Iddalgave
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