Line and Ligature Segmentation in Printed Urdu Document Images

Dr Shehzad Khalid; Israr-ud-din; Imran Siddiqi

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dc.contributor.author	Dr Shehzad Khalid
dc.contributor.author	Israr-ud-din
dc.contributor.author	Imran Siddiqi
dc.date.accessioned	2017-11-22T07:12:31Z
dc.date.available	2017-11-22T07:12:31Z
dc.date.issued	2015
dc.identifier.uri	http://hdl.handle.net/123456789/5012
dc.description.abstract	This paper presents a technique for segmentation of printed Urdu text images into lines and ligatures, a key pre-processing step in Urdu Optical Character Recognition (OCR) systems. Unlike classical projection profile based line segmentation methods, the proposed scheme successfully segments overlapping and touching lines. Once the lines are segmented, ligatures are extracted from each text line by associating the secondary ligatures with their respective primary ligatures. The system evaluated on 30 printed Urdu documents with 310 text lines and 7,364 ligatures realized promising results on line and ligature segmentation.	en_US
dc.language.iso	en	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.subject	Department of Computer Engineering CE	en_US
dc.title	Line and Ligature Segmentation in Printed Urdu Document Images	en_US
dc.type	Article	en_US