A Study on Different Sign Language Recognition Techniques

Language is means of communicating and expressing by using sound wherein, Sign language is communicating through hand gesture, face expression, fingers movement. This sign language is for deaf and dump people. It is visual method to communicate. Very less work has been done on identification of sign language. This paper mainly focuses on comparative study of Sign Language techniques. It reviews different techniques for feature extraction and classification of Sign Language from video or images. Recognition of sign language from video is one of the challenging tasks as video has to be converted to frames and that frames can be used for identification. In future, we will propose a system which will identify gesture from Indian sign language.

I. Introduction

Sign language can be performed either by one hand or by both the hands. There are two types: •

Isolated Sign Language: Single gesture has single word. There are different Isolates Sign Language Systems [4]–[5].

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Continuous Sign Language: Meaningful sentence is generated by sequence of words. This consists of gesture video made by both the hands. It may contain dynamic [6] as well as static gestures.