• Pallavi Shantaram Rane
• Sangita D. Bharkad

Communication is the process of meaningful interactions among human beings. Natural language channels such as speech, writing, and body language (gestures) such as hand movements, head gestures, face expression, lip motion, and so on are methods for humans to connect. Understanding sign language is just as important as understanding normal language since sign language is the best way to communicate with the deaf and blind people. Voluntary movements of hands and fingers are used in sign language to express clear action. There is no universal sign language, just as there is no universal spoken language, because each nation has its own dialect of sign language. As a result, Indian sign language is utilised in India. Because sign language is so distinct from natural language, interpreters of sign language are necessary to convert common language into sign language and vice versa. As such specialists are rare in India in comparison to deaf and deaf individuals, a sign language recognition system is necessary to bridge the communication gap between the hearing-impaired cum speech-impaired population and the rest of society by translating Indian sign language into regular text. There are several approaches to sign language recognition systems that have been developed during the last decade, but there are still certain issues that need to be addressed. In existing systems, various machine learning methods are utilised.

SLR(Sign Language Recognition), ISL(Indian Sign Language), CNN(Convolutional Neural Networks), PNN(Probabilistic Neural Networks), KNN(K-Nearest Neighbor), SVM(Support Vector Machines), RNN(Recurrent Neural Network), HOG(Histogram Oriented Gradient), HMM(Hidden Markov Model).

"SIGN LANGUAGE RECOGNITION SYSTEM : REVIEW STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.a576-a586, October-2021, Available :http://www.jetir.org/papers/JETIR2110073.pdf

"SIGN LANGUAGE RECOGNITION SYSTEM : REVIEW STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppa576-a586, October-2021, Available at : http://www.jetir.org/papers/JETIR2110073.pdf