A segmentation free approach for indexing digitized Syriac manuscripts

Abstract : 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 corre-spondence. The proposed method does not require any prior information, it is also fully independent of a word to charac-ter segmentation algorithm, which would be extremely diffi-cult to realize due to the tilted nature of the handwriting.
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Submitted on : Tuesday, January 17, 2017 - 1:55:40 PM
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  • HAL Id : hal-01437687, version 1


Petra Bilane, Stéphane Bres, Khalil Challita, Hubert Emptoz. A segmentation free approach for indexing digitized Syriac manuscripts. European Signal Processing Conference (EUSIPCO 09), Aug 2009, Glaskow-Scotland, United Kingdom. pp.303-307. ⟨hal-01437687⟩



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