Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …

Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …

Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …

Recognition of sign languages has gained reasonable interest by the researchers in the last
decade. An accurate sign language recognition system can facilitate more accurate …

Sign language is used by deaf and hard hearing people to exchange information between
their own community and with other people. Computer recognition of sign language deals …

Sign languages are based on four components hand shape, place of articulation, hand
orientation, and movement. This paper presents a novel combination of vision based …

Sign Language Recognition has emerged as one of the important area of research in
Computer Vision. The difficulty faced by the researchers is that the instances of signs vary …

Abstract Sign Language Recognition is a breakthrough for helping deaf-mute people and
has been researched for many years. Unfortunately, every research has its own limitations …

An efficient sign language recognition system (SLRS) can recognize the gestures of sign
language to ease the communication between the signer and non-signer community. In this …