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      • Department of Computer Engineering
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      Integrated segmentation and recognition of connected Ottoman script

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      Author(s)
      Yalniz, I. Z.
      Altingovde, I. S.
      Güdükbay, Uğur
      Ulusoy, Özgür
      Date
      2009-11
      Source Title
      Optical Engineering
      Print ISSN
      0091-3286
      Publisher
      S P I E - International Society for Optical Engineering
      Volume
      48
      Issue
      11
      Pages
      1 - 12
      Language
      English
      Type
      Article
      Item Usage Stats
      136
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      96
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      Abstract
      We propose a novel context-sensitive segmentation and recognition method for connected letters in Ottoman script. This method first extracts a set of 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 >90% 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. © 2009 Society of Photo-Optical Instrumentation Engineers.
      Keywords
      Connected scripts
      Historical document analysis
      Information retrieval
      Optical character recognition
      Building blockes
      Context-sensitive
      Directed acyclic graphs
      Integrated segmentation and recognition
      Longest path
      Precision and recall
      Recognition methods
      Score function
      Experiments
      Search engines
      Permalink
      http://hdl.handle.net/11693/22533
      Published Version (Please cite this version)
      http://dx.doi.org/10.1117/1.3262346
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      • Department of Computer Engineering 1435
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