Proceedings ArticleDOI
Indexation of Syriac manuscripts using directional features
P. Bilane,Stéphane Bres,Khalil Challita,Hubert Emptoz +3 more
- pp 1821-1824
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TLDR
This paper presents a method to assist the indexation of digitized Syriac manuscripts based on a word spotting approach that should locate all the occurrences of a certain query word image.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 intentionally tilted by an angle of approximately 45°. The proposed method is based on 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.read more
Citations
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Journal ArticleDOI
A Survey on handwritten documents word spotting
TL;DR: This paper gives an overview of published research efforts in the area of handwritten document image word spotting and on the technologies used in the field and describes a general model for document word spotting.
Proceedings ArticleDOI
A Method for Removing Inflectional Suffixes in Word Spotting of Mongolian Kanjur
TL;DR: The proposed method is as follows: many parts are segmented from the bottom of the word image according to the cutting positions of the inflectional suffixes, and the segmented parts are represented by a number of profile features and classified by multi-BP neural networks.
Proceedings ArticleDOI
A multiple instances approach to improving keyword spotting on historical Mongolian document images
TL;DR: The experimental results show that the proposed approach can significantly improve the performance of keyword spotting for the historical Mongolian document images.
Dissertation
Contributions à l'indexation et à la reconnaissance des manuscrits syriaques
TL;DR: CETTE THESE EST DEDIEE A L'EXPLORATION INFORMATIQUE de MANUSCRITS SYRIAQUES, C'EST LA PREMIERE ETUDE de CE TYPE MISE EN ŒUVRE, Y A PLUS de VINGT SIECLES ET QUI AUJOURD'HUI EST ENCORE PRATIQUEE.
Proceedings ArticleDOI
Deep Recognition-based Character Segmentation in Handwritten Syriac Manuscripts
TL;DR: Since the classifier is a core component of the segmentation algorithm, the proposed approach allows for joint character segmentation and recognition, thus providing a means for automated document indexing and content-based search and retrieval.
References
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