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1 November 2009 Integrated segmentation and recognition of connected Ottoman script
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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 (SPIE)
Ismet Zeki Yalniz, Ismail Sengor Altingovde, Ugur Güdükbay, and Özgür Ulusoy "Integrated segmentation and recognition of connected Ottoman script," Optical Engineering 48(11), 117205 (1 November 2009).
Published: 1 November 2009

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