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    • Thesis & Report, BSc (Computer Science and Engineering)
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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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    A novel approach for detecting and recognizing mathematical symbols

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    12201001 & 13101230_CSE.pdf (1.169Mb)
    Date
    2016
    Publisher
    BRAC University
    Author
    Jahan, Nusrat
    Nafiz, Mirza Abdullah Al
    Metadata
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    URI
    http://hdl.handle.net/10361/7620
    Abstract
    Extraction and recognition of mathematical characters and equations for documented images is important for many applications, artificially intelligent systems in particular to store or analyze mathematical data. It is vital that efficient and robust approaches are utilized in this sector. Recognition methodologies that are widely used at present work very well for nonmathematical data, but for mathematical data, the results are somewhat unsatisfying. Moreover, precision is important while extracting mathematical texts. In our thesis we have studied a number of text detection algorithms and used image segmentation methodologies, template matching, SVM (Support Vector Machine) to detect and recognize mathematical symbols from a document image.
    Keywords
    Mathematical symbols; Segmentation; Mathematical characters
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 34-36).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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