Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
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 |