Sign Language Detection and Recognition
The proposed paper provides a user-friendly way of communication by using the CNN algorithm which helps the deafmute people to communicate with normal people easily.
Abstract
— Hand gesture/sign is one of the communication methods of non-verbal communication. The collection of these hand gesture forms a sign language. Sign Language is popularly used by deaf-mute people for communicating among themselves and also to other people. It has always been a great challenge for normal people to communicate with the deafmute people as it is tough for them to understand their gestures. Hence the key idea of the paper is to bridge the communication gap between the normal people and the deafmute people. Various sign language systems have been developed, but the systems are neither flexible nor are they cost effective. Hence this paper proposes an effective and user friendly hand gesture recognition system which helps the deafmute people to communicate with normal people easily. In the present developing technology, Gesture Recognition and Pattern Recognition has been the field of research. Hand gesture being an important mode of communication in nonverbal communication it plays a vital role in daily life. The proposed paper provides a user-friendly way of communication by using the CNN algorithm.