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Published on Apr 8, 2012
This shows a demonstration of our Pattern Recognition project for Automatic Sign Language Recognition. We used Principal Component Analysis and Linear Discriminant Analysis to extract the features and Support Vector Machines and K Nearest Neighbors for Classification. The performance is still shaky and we hope to improve it. This was implemented in MATLAB. Codes shared in http://www.mathworks.com/matlabcentra.... Project details in https://sites.google.com/site/autosig...