Abstract
Sign Language is the only formal way of communication for the mute persons and the hearing impaired. Developed systems that can recognize these signs provide an interface between signers and non{signers by which the meaning of sign can be interpreted. The aim of this project work was to design a user independent framework for automatic recognition of Sign which can recognize various one handed dynamic isolated sign and interpreting their meaning. The proposed approach consists majorly of three steps: preprocessing, feature extraction and recognition. We proposed system which we have compared different approaches of image processing for Motion trajectory based human hand tracking for sign language recognition.
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