Sign Language Recognition (SLR)
Rutuja Burde,
PG Student
Department of Computer Science,
G.H. Raisoni University, Amravati, India
Received on: 11 May ,2024 Revised on: 18 June ,2024 Published on: 29 June ,2024
Abstract— Sign Language is mainly used by deaf (hard hearing) and dumb people to exchange information between their own community and with other people. It is a language where people use their hand gestures to communicate as they can’t speak or hear. Sign Language Recognition (SLR) deals with recognizing the hand gestures acquisition and continues till text or speech is generated for corresponding hand gestures. Here hand gestures for sign language can be classified as static and dynamic. However, static hand gesture recognition is simpler than dynamic hand gesture recognition, but both recognition is important to the human community. We can use Deep Learning Computer Vision to recognize the hand gestures by building Deep Neural Network architectures (Convolution Neural Network Architectures.
Index Terms – HTML, CSS, Python, Pip, Mediapip, opencv, NumPy
Doi Link – https://doi.org/10.69758/GIMRJ2406I8V12P092
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