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    • Bilkent Theses
    • Theses - Department of Computer Engineering
    • Dept. of Computer Engineering - Master's degree
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    Integrated segmentation and recognition of connected Ottoman script

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    Date Issued
    2008
    Author
    Yalnız, İsmet Zeki
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    Please cite this item using this persistent URL
    http://hdl.handle.net/11693/14738
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    • Dept. of Computer Engineering - Master's degree [446]
    Advisor
    Ulusoy, Özgür
    Publisher
    Bilkent University
    Abstract
    In this thesis, a novel context-sensitive segmentation and recognition method for connected letters in Ottoman script is proposed. This method first extracts a set of possible segments from a connected script and determines the candidate letters to which extracted segments are most similar. Next, a function is defined for scoring each different syntactically correct sequence of these candidate letters. To find the candidate letter sequence that maximizes the score function, a directed acyclic graph is constructed. The letters are finally recognized by computing the longest path in this graph. Experiments using a collection of printed Ottoman documents reveal that the proposed method provides very high precision and recall figures in terms of character recognition. In a further set of experiments we also demonstrate that the framework can be used as a building block for an information retrieval system for digital Ottoman archives.

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    BİLKENT UNIVERSITY

    Copyright © Bilkent University - Library Technical Services | 06800 Bilkent, Ankara TURKEY
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