Indian Sign Language Recognition System Using PCA Features
Mr. Girme R B. · International Journal for Research in Applied Science and Engineering Technology · 2017
Sign language is the technique used for communication between deaf, mute, hard hearing people and normal people. 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 to design a system which is useful for communication of that person with the 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 This PCA technique identify sign with an accuracy of 96%. The experimental result is shown that the system is used as "working System" in regular ISL Recognition.