Abstract: Conversing to a person with hearing disability is always a major challenge. Sign language has indelibly become the ultimate panacea and is a very powerful tool for individuals with hearing and speech disability to communicate their feelings and opinions to the world. It makes the integration process between them and others smooth and less complex. In this study, the user must be able to capture images of the hand gesture using web camera and the system shall predict and display the name of the captured image.
Keywords: Sign Language, ASL, Hearing disability, Convolutional Neural Network (CNN), Computer Vision, Machine Learning, Gesture recognition, Sign language recognition, Hue Saturation Value algorithm.
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DOI:
10.17148/IJARCCE.2023.124213
