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...
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2009
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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. |
first_indexed | 2024-07-04T05:53:04Z |
format | Conference or Workshop Item |
id | uum-13558 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:53:04Z |
publishDate | 2009 |
record_format | eprints |
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 |
work_keys_str_mv | AT sattarsohaila segmentationofnastaliqscriptforocr AT haqueshamsul segmentationofnastaliqscriptforocr AT haquemahmoodkhaquepathan segmentationofnastaliqscriptforocr |