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    Projects > ELECTRONICS > 2019 > NON IEEE > EMBEDDED SYSTEMS

    IMAGE PROCESSING BASED SPEAKING SYSTEM FOR MUTE PEOPLE USING HAND GESTURES


    Abstract

    This paper presents a sign to speech converter for dumb people. In the present world it is very difficult for the dumb people to talk with the ordinary people. So it becomes impossible for them to communicate with the ordinary people unless and until ordinary people like us learn the sign language for the purpose of communication. The sign language of dumb is quite difficult to learn and it is not possible for everybody to learn that language. So every person cannot come and share their thoughts with these physically impaired people. So here is a system which would enable the dumb people to communicate with each and every one. In this system a webcam is placed in front of the physically impaired person. The physically impaired person would put his finger in front of the web camera and the webcam will capture the hand gesture and perform image processing using principle component analysis algorithm (PCA). The co-ordinates captured will be mapped with the one previously stored and accordingly exact picture from the database will be identified. Continuing in this way physically impaired person will be able to go through the entire sentence that he wants to communicate. Later on this sentence will be translated into speech so that it would be audible to everyone.


    Existing System


    Proposed System


    Architecture


    BLOCK DIAGRAM


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