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A SEGMENTATION FREE APPROACH FOR INDEXING DIGITIZED SYRIAC MANUSCRIPTS

机译:用于索引数字化叙利赛稿件的分割方法

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This paper presents a method to assist the indexation of digitized Syriac manuscripts. Syriac belongs to the Aramaic branch of Semitic languages, it is written from right to left, and the characters hold the feature of being intentionally tilted by an angle of approximately 45°. For the indexation purpose we propose a word spotting approach that should locate all the occurrences of a certain query word image. The method is based on a selective sliding window technique from which directional features are extracted. Matching between features is done using Euclidean distance correspondence. The proposed method does not require any prior information, it is also fully independent of a word to character segmentation algorithm, which would be extremely difficult to realize due to the tilted nature of the handwriting.
机译:本文提出了一种帮助数字化叙利亚稿件的指数的方法。叙利亚属于山顶语言的Aramaic分支,它是从右到左写的,并且字符保持故意倾斜的特征大约45°。对于索引目的,我们提出了一种单词发现方法,应该找到某个查询字图像的所有发生。该方法基于选择性的滑动窗技术,从中提取方向特征。使用功能之间的匹配是使用欧几里德距离对应完成的。所提出的方法不需要任何先前的信息,它也完全独立于对字符分割算法的单词,这是由于手写的倾斜性质而非常难以实现。

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