SIGN LANGUAGE RECOGNITION
The proposed algorithm provides 95 accurate alphabetical results and its image is captured at all possible angles and distances and its algorithm work accurately for 45 input types.
Abstract
: Sign language is used by deaf and dumb people to share information with others in their community. Talking to someone with a hearing problem is always a big challenge. Sign language recognition is an improvement in helping deaf and dumb people and has been around for years. Unfortunately, all research has its limitations and cannot be used commercially. Some research is known to be successful in recognizing sign language but requires expensive costs to be done for commercial purposes. Electronic recognition of sign language is associated with the acquisition of signals and continues until the production of text/speech. Touch gestures can be classified as permanent and flexible. Yet vertical touch detection is easier than recognizing dynamic touch but both awareness systems are important in human society. There are 26 symbols in Indian sign language corresponding to the alphabet where the proposed algorithm provides 95 accurate alphabetical results and its image is captured at all possible angles and distances i.e. in all the letters indeed though they've about 5 pictures independently. Angle and distance and algorithm work accurately for 45 input types. This paper aims to review sign language recognition methods and to determine the best method used by researchers. Other future research guides in this area are also suggested. In this paper, we discuss sign language recognition.