• Prathamesh Dhavale
• Nikita Gurjar
• Divya Dave
• Avinash Rajput
• Deepika Patil

In the world of sign language, and hand gestures, a lot of research work has been done over the past three decades. Woefully, every research has its own limitations and are still unable to be used commercially. The main problem of this way of communication is normal people who cannot understand sign language can't communicate with these people or vice versa. Many researches have known to be successful for recognizing sign language, but require an expensive cost to be commercialized. Researchers do their researches in various ways. It starts from the data acquisition methods. The data acquisition method changes because of the cost needed for a good device, but cheap method is needed for the Sign Language Recognition System to be commercialized. The method used in developing Sign Language Recognition also varies between researchers. Each method has its own strength compare to other methods and many researchers are still using different methods in developing their own Sign Language Recognition.

Face recognition, Hand gesture recognition, Image processing, Feature extraction, Machine learning, Sign language.

"Sign Language Recognition Using Machine learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.549-552, January-2019, Available :http://www.jetir.org/papers/JETIR1901772.pdf

"Sign Language Recognition Using Machine learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp549-552, January-2019, Available at : http://www.jetir.org/papers/JETIR1901772.pdf