dc.contributor.advisor | Khan, Mumit | |
dc.contributor.advisor | Alom, Md. Zahangir | |
dc.contributor.author | Choudhury, Najeefa Nikhat | |
dc.contributor.author | Kayas, Golam | |
dc.date.accessioned | 2013-05-01T05:32:26Z | |
dc.date.available | 2013-05-01T05:32:26Z | |
dc.date.copyright | 2012 | |
dc.date.issued | 2012-12 | |
dc.identifier.other | ID 09301024 | |
dc.identifier.other | ID 09110026 | |
dc.identifier.uri | http://hdl.handle.net/10361/2387 | |
dc.description | This 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 | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (page 39). | |
dc.description.abstract | Sign 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.statementofresponsibility | Najeefa Nikhat Choudhury | |
dc.description.statementofresponsibility | Golam Kayas | |
dc.format.extent | 39 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC 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.subject | Computer science and engineering | |
dc.title | Automatic recognition of Bangla sign language | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B. Computer Science and Engineering | |