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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Gesture based implementation on neural network: Bengali sign language to text conversion

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    15101145,11201011,13201038,14101206_CSE.pdf (1.097Mb)
    Date
    2017-08
    Publisher
    BRAC Univeristy
    Author
    Hasan, S.M. Farzana
    Rahman, Tanjina Mehnaz
    Chowdhury, Anika Raisa
    Biswas, Akash
    Metadata
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    URI
    http://hdl.handle.net/10361/9064
    Abstract
    This 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.
    Keywords
    Neural network; Sign language; Bengali
     
    Description
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (pages 23-24).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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