Noval approach of classification based Indian sign language recognition using transform features

Sign language is most important tool of communication for dumb and deaf people. Sign language is a widely used and accepted standard for communication by people with hearing and speaking impairments. A sign language is a language which uses visually transmitted sign patterns, instead of acoustically conveyed sound patterns, to deliver the meaning. In this research paper a novel technique for Indian sign language recognition is proposed. Technique focuses on transformed content of sign language images. Important goal of proposed classification based recognition technique is faster retrieval with higher accuracy.