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dc.contributor.author Wickramasinghe, M.J. K
dc.contributor.author De Silva, D.
dc.date.accessioned 2023-01-27T05:55:49Z
dc.date.available 2023-01-27T05:55:49Z
dc.date.issued 2023-01-12
dc.identifier.issn 2961-5704
dc.identifier.uri http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/3220
dc.description.abstract Information is an asset. Information can be conveyed verbally or in written form. Conveying that information, a line of communication. Nowadays, online communication has become vital to everyone’s life. People share information through notices, observe product details through online catalogs,and even convey wishes through e-cards. Though these things are feasible for normal humans, differently abled people miss these opportunities. The primary goal of this research is to remove the barriers that prevent hearingimpaired people, them, and average people from sharing information. We have addressed this issue by developing a system to extract image text and translate it to British sign language, which is particularly well-liked by the deaf community. The system is a success, and the accuracy of the system mainly depends on the text extraction methods. The accuracy of the extraction method varies depending on core technology and computational power.Improving the functionality will increase the accuracy of the system en_US
dc.language.iso en en_US
dc.publisher Faculty of Social Sciences and Languages Sabaragamuwa University of Sri Lanka en_US
dc.subject British Sign Language en_US
dc.subject Image processing en_US
dc.subject Image Text Translation en_US
dc.subject Natural Language Processing en_US
dc.subject Text Segmentation en_US
dc.title IMAGE TEXT TRANSLATION INTO BRITISH SIGN LANGUAGE en_US
dc.type Article en_US


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