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Improving Nastalique specific pre-recognition process for Urdu OCR
Urdu language is written using Arabic script in Nastalique writing style. Nastalique script is highly cursive, context sensitive and is hard to process as only the last character in its ligature sits on the baseline. In addition, it exhibits character and ligature level spatial overlap. Due to these...
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creator | Javed, S.T. Hussain, S. |
description | Urdu language is written using Arabic script in Nastalique writing style. Nastalique script is highly cursive, context sensitive and is hard to process as only the last character in its ligature sits on the baseline. In addition, it exhibits character and ligature level spatial overlap. Due to these factors, the placement of dots and other diacritics is also highly contextual and variable. There is now increasing amount of work to process and recognize Nastalique script to develop Urdu OCR. This paper proposes improvements to these methods. The paper focuses on Nastalique specific pre-processing methods which can be employed before the text recognition process. The recognition and post recognition processes will be addressed separately. |
doi_str_mv | 10.1109/INMIC.2009.5383111 |
format | conference_proceeding |
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Nastalique script is highly cursive, context sensitive and is hard to process as only the last character in its ligature sits on the baseline. In addition, it exhibits character and ligature level spatial overlap. Due to these factors, the placement of dots and other diacritics is also highly contextual and variable. There is now increasing amount of work to process and recognize Nastalique script to develop Urdu OCR. This paper proposes improvements to these methods. The paper focuses on Nastalique specific pre-processing methods which can be employed before the text recognition process. The recognition and post recognition processes will be addressed separately.</description><identifier>ISBN: 1424448727</identifier><identifier>ISBN: 9781424448722</identifier><identifier>EISBN: 9781424448739</identifier><identifier>EISBN: 1424448735</identifier><identifier>DOI: 10.1109/INMIC.2009.5383111</identifier><identifier>LCCN: 2009905808</identifier><language>eng</language><publisher>IEEE</publisher><subject>Character recognition ; Data mining ; Image recognition ; Image segmentation ; Information retrieval ; Optical character recognition software ; Optical distortion ; Optical sensors ; Text recognition ; Writing</subject><ispartof>2009 IEEE 13th International Multitopic Conference, 2009, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5383111$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5383111$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Javed, S.T.</creatorcontrib><creatorcontrib>Hussain, S.</creatorcontrib><title>Improving Nastalique specific pre-recognition process for Urdu OCR</title><title>2009 IEEE 13th International Multitopic Conference</title><addtitle>INMIC</addtitle><description>Urdu language is written using Arabic script in Nastalique writing style. Nastalique script is highly cursive, context sensitive and is hard to process as only the last character in its ligature sits on the baseline. In addition, it exhibits character and ligature level spatial overlap. Due to these factors, the placement of dots and other diacritics is also highly contextual and variable. There is now increasing amount of work to process and recognize Nastalique script to develop Urdu OCR. This paper proposes improvements to these methods. The paper focuses on Nastalique specific pre-processing methods which can be employed before the text recognition process. The recognition and post recognition processes will be addressed separately.</description><subject>Character recognition</subject><subject>Data mining</subject><subject>Image recognition</subject><subject>Image segmentation</subject><subject>Information retrieval</subject><subject>Optical character recognition software</subject><subject>Optical distortion</subject><subject>Optical sensors</subject><subject>Text recognition</subject><subject>Writing</subject><isbn>1424448727</isbn><isbn>9781424448722</isbn><isbn>9781424448739</isbn><isbn>1424448735</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kNFKwzAYhSMy0M2-gN7kBTr_NEnz51KLzsLcQOb1yNJkRLa2Jp3g21txnpvDgY_D4RByy2DOGOj7evVaV_MCQM8lR84YuyCZVshEIYRAxfUlmf6HQk3I9JfVIBHwimQpfcAoIbkAdU0e62Mfu6_Q7unKpMEcwufJ0dQ7G3ywtI8uj852-zYMoWvH3FmXEvVdpO-xOdF19XZDJt4cksvOPiOb56dN9ZIv14u6eljmQcOQS2SWGyYUovemQYu400yp3TjDN6UfxQBZyUvfgObAzQgJLaVH3Qir-Izc_dUG59y2j-Fo4vf2fAH_AfOvTTw</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Javed, S.T.</creator><creator>Hussain, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Improving Nastalique specific pre-recognition process for Urdu OCR</title><author>Javed, S.T. ; Hussain, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-581c3a14788ffad8c88b9177b407fd6ffff1081636fd09303aad84955f89d4c73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Character recognition</topic><topic>Data mining</topic><topic>Image recognition</topic><topic>Image segmentation</topic><topic>Information retrieval</topic><topic>Optical character recognition software</topic><topic>Optical distortion</topic><topic>Optical sensors</topic><topic>Text recognition</topic><topic>Writing</topic><toplevel>online_resources</toplevel><creatorcontrib>Javed, S.T.</creatorcontrib><creatorcontrib>Hussain, S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Javed, S.T.</au><au>Hussain, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improving Nastalique specific pre-recognition process for Urdu OCR</atitle><btitle>2009 IEEE 13th International Multitopic Conference</btitle><stitle>INMIC</stitle><date>2009-12</date><risdate>2009</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>1424448727</isbn><isbn>9781424448722</isbn><eisbn>9781424448739</eisbn><eisbn>1424448735</eisbn><abstract>Urdu language is written using Arabic script in Nastalique writing style. Nastalique script is highly cursive, context sensitive and is hard to process as only the last character in its ligature sits on the baseline. In addition, it exhibits character and ligature level spatial overlap. Due to these factors, the placement of dots and other diacritics is also highly contextual and variable. There is now increasing amount of work to process and recognize Nastalique script to develop Urdu OCR. This paper proposes improvements to these methods. The paper focuses on Nastalique specific pre-processing methods which can be employed before the text recognition process. The recognition and post recognition processes will be addressed separately.</abstract><pub>IEEE</pub><doi>10.1109/INMIC.2009.5383111</doi><tpages>6</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Character recognition Data mining Image recognition Image segmentation Information retrieval Optical character recognition software Optical distortion Optical sensors Text recognition Writing |
title | Improving Nastalique specific pre-recognition process for Urdu OCR |
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