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Real Time Classification of American Sign Language for Finger Spelling Purpose

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10036)

Abstract

Real time communication with use of sign languages is addressed. Sign language used in this study is performed in uniform lighting conditions. The system looks at image processing of the hand gestures followed by some feature extraction techniques to verify the gesture. Different classification techniques and logics are applied to classify the images and results are compared experimentally. Conditional classification is also used in the research to test for accuracy and is compared with previous results.

Keywords

Communication Sign language Image processing Feature extraction Classification 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.School of Engineering and PhysicsThe University of the South PacificSuvaFiji Islands

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