Hand gesture recognition for sign language

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dc.contributor.author Maryam Ijaz, 01-134162-068
dc.contributor.author Syeda Miral Kazmi, 01-134162-047
dc.date.accessioned 2021-01-11T01:59:47Z
dc.date.available 2021-01-11T01:59:47Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/123456789/10746
dc.description Supervised by Dr Kashif Naseer en_US
dc.description.abstract We have come to know a very genuine issue of sign language recognition, that problem being the issue of two way communication i.e. between normal person and deaf/dumb. Current sign language recognition applications are lack of basic characteristics which are very necessary for the interaction with environment. Our project is focused on providing a portable and customizable solution for understanding sign language through an android app. The report provides a summary of the basic concepts and steps involved in creating this android application that uses gestures recognition to understand American sign language words. The project uses different image processing tools to separate the hand from the rest and then uses pattern recognition techniques for gesture recognition. A complete summary of the results obtained from the various tests performed is also provided to demonstrate the validity of the application. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-01475
dc.subject Computer Science en_US
dc.title Hand gesture recognition for sign language en_US
dc.type Project Reports en_US


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