Welcome to the upgraded BRAC University Institutional Repository. We are currently organizing collections after a recent system upgrade. Homepage category counters may temporarily show lower numbers while syncing, but over 27,000 repository items remain safe and accessible. Please use the search bar to find theses, scholarly outputs, and institutional documents.

Gesture based implementation on neural network: Bengali sign language to text conversion

Simple item page
bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorUddin, Dr. Jia
dc.contributor.authorHasan, S.M. Farzana
dc.contributor.authorRahman, Tanjina Mehnaz
dc.contributor.authorChowdhury, Anika Raisa
dc.contributor.authorBiswas, Akash
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2018-01-15T06:12:18Z
dc.date.available2018-01-15T06:12:18Z
dc.date.copyright2017
dc.date.issued2017-08
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (pages 23-24).
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.description.abstractThis paper presents a novel system that converts Bengali Sign language to text using an optimum system comprising of artificial neural networksand support vector model. Bengali Sign Language, has very few research papers based upon it. Therefore, for this paper we have created our own dataset. Microsoft Kinect is utilized as its input device and a complex method of bone and joint determination using contour shape, fingertip detection. Contour feature is extracted and is run through a Support Vector Machine for classification of the sign. The program has been developed in Visual Studio 2015 with a SVM wrapper.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityS.M. Farzana Hasan
dc.description.statementofresponsibilityTanjina Mehnaz Rahman
dc.description.statementofresponsibilityAnika Raisa Chowdhury
dc.description.statementofresponsibilityAkash Biswas
dc.format.extent24 pages
dc.identifier.otherID 15101145
dc.identifier.otherID 11201011
dc.identifier.otherID 13201038
dc.identifier.otherID 14101206
dc.identifier.urihttp://hdl.handle.net/10361/9064
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses 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.subjectNeural networken_US
dc.subjectSign languageen_US
dc.subjectBengalien_US
dc.titleGesture based implementation on neural network: Bengali sign language to text conversionen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
15101145,11201011,13201038,14101206_CSE.pdf
Size:
1.1 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Thesis (Bachelor of Science in Computer Science and Engineering)