Integrated segmentation and recognition of connected Ottoman script

Ismet Zeki Yalniz; Ismail Sengor Altingovde; Ugur GudukbayOzgur Ulusoy

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Integrated segmentation and recognition of connected Ottoman script

机译：Integrated segmentation and recognition of connected Ottoman script

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摘要

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 >90percent 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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来源
《Optical Engineering》 |2009年第11期|117205-1-117205-12|共12页
作者
Ismet Zeki Yalniz; Ismail Sengor Altingovde; Ugur GudukbayOzgur Ulusoy;
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作者单位

Bilkent University, Department of Computer Engineering, Bilkent, Ankara, 06800 Turkey;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
关键词
optical character recognition; historical document analysis; con-nected scripts; information retrieval;

Integrated segmentation and recognition of connected Ottoman script

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