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Word Retrieval System for Ancient Arabic Manuscripts

机译:古代阿拉伯手稿词检索系统

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Many museums and libraries that have archives containing historical Arabic manuscripts are beginning to digitize their collections to enable researchers and the general public access to them. Most of these collections are available in digital format with no annotation, limiting researchers to fully utilize them efficiently. This paper reports on a system we developed for word retrieval in Historical Arabic Handwritten manuscripts. Unlike other systems, this system does not use Optical Character Recognition or word spotting techniques. The system performs three different steps: segmentatlon, annotation, and word search. We designed a new interface to read and query Historical Arabic Handwritten manuscripts using text queries. The queried word is then highlighted in the page image of the manuscript.
机译:许多拥有历史悠久的阿拉伯手稿的博物馆和图书馆都开始数字化其馆藏,以使研究人员和一般公众都可以使用它们。这些馆藏大多数都以数字格式提供,没有注释,这限制了研究人员有效地充分利用它们。本文报告了我们开发的用于历史阿拉伯手写稿件中单词检索的系统。与其他系统不同,该系统不使用光学字符识别或单词点技术。系统执行三个不同的步骤:segmentatlon,注释和单词搜索。我们设计了一个新的界面,以使用文本查询来读取和查询历史阿拉伯手写体手稿。然后,所查询的单词会在手稿的页面图像中突出显示。

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