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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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    Facial recognition using dynamic image processing

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    12201011 & 12201065_CSE.pdf (1.123Mb)
    Date
    2017-04-10
    Publisher
    BRAC University
    Author
    Haque, Md. Asiful
    Samee, Tanzeeb
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/8192
    Abstract
    In this paper, we are prompting to detect a particular object (human face) from multiple objects (crowd) where multiple objects are present. We will try to recognize that particular object by using two pattern recognition algorithms, Eigenfaces, Hidden Markov model. Basically the reason to use more than one algorithm or process however that’s mention is because more accuracy hence therefore with one process the results however never become absolute and perfect, therefore filtering away the results from one algorithm and make it more efficient the second algorithm may come handy. An identified way that has been most famous is using particular algorithm or process and having a full-formed Data set.
    Keywords
    Dynamic image; Facial recognition
     
    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 43-44).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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