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Urdu Sign Language Recognition.

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dc.contributor.author Mian Afzaal Zahoor, 01-134182-094
dc.contributor.author Suleman, 01-134182-059
dc.date.accessioned 2022-09-19T06:20:33Z
dc.date.available 2022-09-19T06:20:33Z
dc.date.issued 2022
dc.identifier.uri http://hdl.handle.net/123456789/13290
dc.description Supervised by Ms. Maria Mahmood en_US
dc.description.abstract USLR stands for Urdu Sign Language Recognition. Communication is a primary need of humans, and to communicate, the medium of language is used. Most people in the world can listen and speak while using different languages, while some people who are listening or speaking have to use sign language to convey their message to another person. In Pakistan, where deaf people prefer Urdu sign language as a way to communicate, computer-based USLR interpreters are required. The purpose of this project is to close the communication gap between the non-signers and signers. The system works by taking the input images of the signer through the camera and displaying the alphabet they made using that hand sign. Our data set contains 37 Urdu language alphabets en_US
dc.language.iso en en_US
dc.publisher Computer Science BU E8-IC en_US
dc.relation.ispartofseries BS (CS);P-1445
dc.subject Urdu Sign en_US
dc.subject Language Recognition en_US
dc.title Urdu Sign Language Recognition. en_US
dc.type Project Reports en_US


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