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Real time classification of American sign language for finger spelling purpose

Kumar, Amit and Assaf, Mansour and Mehta, Utkal V. (2016) Real time classification of American sign language for finger spelling purpose. In: Internet of Vehicles – Technologies and Services. Lecture Notes in Computer Science, 10036 . Springer International Publishing, Switzerland, pp. 128-137. ISBN Print: 978-3-319-51968-5, Online: 978-3-319-51969-2

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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.

Item Type: Book Chapter
Additional Information: DOI: 10.1007/978-3-319-51969-2_11 ISSN: 0302-9743 Paper presented at the Third International Conference, IOV 2016, Nadi, Fiji, December 7–10, 2016, Proceedings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User: Mansour Assaf
Date Deposited: 24 Jan 2017 15:25
Last Modified: 24 Jan 2017 15:25
URI: http://repository.usp.ac.fj/id/eprint/9567
UNSPECIFIED

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