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Automatic recognition of Bangla sign language

bracu.type.groupStudent Works
dc.contributor.advisorKhan, Mumit
dc.contributor.advisorAlom, Md. Zahangir
dc.contributor.authorChoudhury, Najeefa Nikhat
dc.contributor.authorKayas, Golam
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2013-05-01T05:32:26Z
dc.date.available2013-05-01T05:32:26Z
dc.date.copyright2012
dc.date.issued2012-12
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 39).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012.en_US
dc.description.abstractSign Language is the mode of communication among the deaf and dumb. However, integrating them into the main stream is very difficult as the majority of the society is unaware of their language. So, to bridge the communication gap between the hearing and speech impaired and the rest in Bangladesh, we conducted a research to recognize Bangla sign language using a computer-vision based approach. To achieve our goals we used Neural Networks to train individual signs. In the future, this research, besides helping as an interpreter, can also open doors to numerous other applications like sign language tutorials or dictionaries and also help the deaf and dumb to search the web or send mails more conveniently.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityNajeefa Nikhat Choudhury
dc.description.statementofresponsibilityGolam Kayas
dc.format.extent39 pages
dc.identifier.otherID 09301024
dc.identifier.otherID 09110026
dc.identifier.urihttp://hdl.handle.net/10361/2387
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectComputer science and engineering
dc.titleAutomatic recognition of Bangla sign languageen_US
dc.typeThesisen_US

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