Indian Sign Language Recognition using SVM Classifier
9 Pages Posted: 18 Jul 2019 Last revised: 30 Sep 2019
Date Written: May 18, 2019
Sign language is the medium of communication for the hearing impaired people. It uses gestures instead of sound to convey meaning. It combines hand-shapes, orientation and movement of the hands, arms or body, facial expressions and lip-patterns for conveying messages. Different types of project are done against deaf, mute, hard hearing people. A system with computer human interface is proposed for sign language recognition. But there is country wide variation available in that project. The main idea of this project is design a system which is useful for communication of that people with outside world in any public places, so that no need to interpreter in public places. In that project we need the isolated images in the form of database with Indian sign language of numeric sign. A regular camera is useful for acquiring this numeric sign. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done.
Keywords: PCA,morphological processes, SVM classifier
JEL Classification: Y60
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