Title:
TextLinesegmentationofhistoricalArabicdocuments.r
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Description: This paper presents a text line segmentation method
for printed or handwritten historical Arabic
documents. Documents are first classified into 2
classes using a K-means scheme. These classes
correspond to document complexity (easy or not easy
to segment). Then, a document which includes
overlapping and touching characters, is divided into
vertical strips.
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Text Line segmentation of historical Arabic documents.pdf
