Review on Sign Language Detection based on Machine Learning
Anushka Thakur, Akanksha Patil, Pallavi Shirsath, Prof. Kishor Pathak · Zenodo (CERN European Organization for Nuclear Research) · 2022
The main means of human communication is through voice and language. We can understand each other’s ideas because of our ability to hear. Even today, speech recognition allows us to issue commands. But what if someone is completely deaf and eventually unable to speak? Since sign language is the primary means of communication for deaf and mute individuals, it is important to conduct considerable study into automatic interpretation of sign language in order to preserve their independence. Numerous methods and algorithms have been created in this field with the help of image processing and machine learning. Each system that recognizes sign language is trained to identify the signs and translate them into the necessary patterns. In this article, Sign Language is recorded as a collection of photographs, processed with the aid of Python, and then converted to text.