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    • Thesis & Report, BSc (Computer Science and Engineering)
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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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    Real time classroom attendance management system

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    13101119, 13101208, 13101234, 13301098 _CSE.pdf (1.207Mb)
    Date
    2017-04-18
    Publisher
    BRAC University
    Author
    Islam, Md. Shafiqul
    Mahmud, Asif
    Papeya, Azmina Akter
    Onny, Irin Sultana
    Metadata
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    URI
    http://hdl.handle.net/10361/8242
    Abstract
    Face recognition is a pattern recognition technique and one of the most important biometrics; it is used in a broad spectrum of applications. Classroom attendance management system is one of the applications. Traditional attendance system: roll calling, card punching, paper-based attendance are manual process. It takes a lot of time. To remove hectic of traditional process Real time attendance management system is a better solution. Without physical interaction of human being it gives the attendance of present student in the class. Using Kinect camera we took the video input of the classroom. Detection of human face from the video stream is done by Viola- Jones algorithm. For recognition purpose we tested Speeded Up Robust Features (SURF), Histogram of Oriented Gradients (HOG), Linear Binary Pattern (LBP) feature extraction algorithm and do some comparison between those algorithm for our created dataset. In order to normalization we used Kernel Based Filtering method. In our work, when a face of a student matches with the face of dataset it marked the student as present.
    Keywords
    Classroom attendance; Classroom management
     
    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 26 - 29).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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