Segmentation of Nastaliq script for OCR

In this paper we have presented a novel segmentation technique for the implementation of an OCR (Optical Character Recognition) for printed Nastalique text, a calligraphic style of Urdu which uses the Arabic script for its writing.OCR for many of the world major languages have been developed and are...

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Main Authors: Sattar, Sohail A., Haque, Shamsul, Haque, Mahmood K.Haque Pathan
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/13558/1/PID243.pdf
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author Sattar, Sohail A.
Haque, Shamsul
Haque, Mahmood K.Haque Pathan
author_facet Sattar, Sohail A.
Haque, Shamsul
Haque, Mahmood K.Haque Pathan
author_sort Sattar, Sohail A.
collection UUM
description In this paper we have presented a novel segmentation technique for the implementation of an OCR (Optical Character Recognition) for printed Nastalique text, a calligraphic style of Urdu which uses the Arabic script for its writing.OCR for many of the world major languages have been developed and are being used but at present an OCR for Nastalique is not available and the published research on Nastalique OCR, Urdu OCR or even on any area of Urdu computing is almost non-existent, the reason being the challenges that the Nastalique style poses for its optical recognition. We used Matlab 7 for our experimentation the results are reported in this paper which are very encouraging.
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spelling uum-135582015-04-02T07:13:21Z https://repo.uum.edu.my/id/eprint/13558/ Segmentation of Nastaliq script for OCR Sattar, Sohail A. Haque, Shamsul Haque, Mahmood K.Haque Pathan QA76 Computer software In this paper we have presented a novel segmentation technique for the implementation of an OCR (Optical Character Recognition) for printed Nastalique text, a calligraphic style of Urdu which uses the Arabic script for its writing.OCR for many of the world major languages have been developed and are being used but at present an OCR for Nastalique is not available and the published research on Nastalique OCR, Urdu OCR or even on any area of Urdu computing is almost non-existent, the reason being the challenges that the Nastalique style poses for its optical recognition. We used Matlab 7 for our experimentation the results are reported in this paper which are very encouraging. 2009-06-24 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13558/1/PID243.pdf Sattar, Sohail A. and Haque, Shamsul and Haque, Mahmood K.Haque Pathan (2009) Segmentation of Nastaliq script for OCR. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur. http://www.icoci.cms.net.my
spellingShingle QA76 Computer software
Sattar, Sohail A.
Haque, Shamsul
Haque, Mahmood K.Haque Pathan
Segmentation of Nastaliq script for OCR
title Segmentation of Nastaliq script for OCR
title_full Segmentation of Nastaliq script for OCR
title_fullStr Segmentation of Nastaliq script for OCR
title_full_unstemmed Segmentation of Nastaliq script for OCR
title_short Segmentation of Nastaliq script for OCR
title_sort segmentation of nastaliq script for ocr
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/13558/1/PID243.pdf
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