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IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Comparative Analysis On Sign Language Recognition System

[Full Text]



Swati Sharma, Varun Prakash Saxena, Kandukuru Satish



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



A process of exchanging information, expressions and views between two and more than two people is communication. It can be either Verbal or Non-Verbal communication. Non-Verbal communications makes use of hand gestures for interaction. Hand Gestures can also be termed as sign language which works in a systematic way. With the help of this sign language it is becoming easier for people with disability to interact with the normal people. The people who suffers from hearing disabilities makes them different from others as they lack behind due to their impaired hearing as there is a system which is used by them to interact with normal people is SLR. Sign Language Recognition (SLR) system basically used as an intermediate between normal people and hearing impaired. In this survey, various techniques that were implemented for sign language recognition along with the key points like the Classification Algorithms are discussed including the challenges and future scope too.



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