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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Bangla sign language interpretation using image processing

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    13101087, 13101027, 13101163, 13101024 _ CSE.pdf (1.319Mb)
    Date
    2017-04-18
    Publisher
    BRAC University
    Author
    Arko, Fahmid Nasif
    Tabassum, Nujhat
    Trisha, Taposhi Rabeya
    Ahmed, Fariha
    Metadata
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    URI
    http://hdl.handle.net/10361/8216
    Abstract
    Instant feedback on sign language can greatly improve sign language interpretation. In this project we plan to use efficient methods to detect the hand correctly using skin detection algorithm and removing all noise using MATLAB and classify the image according to the sign gesture performed. In this paper, we propose an image processing based model which will interpret Bangla Sign Language. The purpose of this model is to find Bangla Sign Language recognition accuracy. The model will detect the skin color of every type using 𝑌𝐶𝐵𝐶𝑅 algorithm and use Bag of features for feature extraction and Support Vector Machine (SVM) for training and evaluation. To validate our proposed model, we used our own dataset of Bangla Sign Languages using hand gestures of both male and female. The average accuracy we got from evaluation set is 86%.
    Keywords
    Image processing; Sign language
     
    Description
    This thesis report is submitted in partial fulfillment 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 (page 27-29).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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