Segmentation of Printed Urdu Scripts Using Structural Features
Character segmentation forms the basis for optical character recognition. In this paper, we have proposed a character segmentation approach for printed Urdu script. Urdu is cursive by nature and its script is written from right to left. Both these factors make the segmentation more difficult and req...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 195 |
|---|---|
| container_issue | |
| container_start_page | 191 |
| container_title | |
| container_volume | |
| creator | Malik, H. Fahiem, M.A. |
| description | Character segmentation forms the basis for optical character recognition. In this paper, we have proposed a character segmentation approach for printed Urdu script. Urdu is cursive by nature and its script is written from right to left. Both these factors make the segmentation more difficult and require special attention. Our approach is based on structural features and we have overcome different problems like over segmentation and under segmentation, present in previous approaches. We have achieved an accuracy rate of 99.4% which is better than others. The approach may be very useful for developing an optical character recognition system for Urdu language. |
| doi_str_mv | 10.1109/VIZ.2009.12 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5230742</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5230742</ieee_id><sourcerecordid>5230742</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-c8f76efa8db02ac9cd97c12d532286b7bc68f95fceeab8c12f9dbe9b417953f83</originalsourceid><addsrcrecordid>eNotj0FLAzEUhANS0NaePHrJH9j1Jdkkm4sgxdpCQWFbD15KNnkpkXZbstmD_94tepqZb2BgCHlgUDIG5ulz_VVyAFMyfkOmoJWRQosKJmR6xQau8ZbM-_4bAJhRWkp1R54bPJywyzbHc0fPgX6k2GX0dJf8QBuX4iX3dNfH7kCbnAaXh2SPdIl2NNjfk0mwxx7n_zoj2-XrdrEqNu9v68XLpogGcuHqoBUGW_sWuHXGeaMd414KzmvV6tapOhgZHKJt67EJxrdo2orp8UWoxYw8_s1GRNxfUjzZ9LOXXICuuPgFWfVI9A</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Segmentation of Printed Urdu Scripts Using Structural Features</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Malik, H. ; Fahiem, M.A.</creator><creatorcontrib>Malik, H. ; Fahiem, M.A.</creatorcontrib><description>Character segmentation forms the basis for optical character recognition. In this paper, we have proposed a character segmentation approach for printed Urdu script. Urdu is cursive by nature and its script is written from right to left. Both these factors make the segmentation more difficult and require special attention. Our approach is based on structural features and we have overcome different problems like over segmentation and under segmentation, present in previous approaches. We have achieved an accuracy rate of 99.4% which is better than others. The approach may be very useful for developing an optical character recognition system for Urdu language.</description><identifier>ISBN: 0769537340</identifier><identifier>ISBN: 9780769537344</identifier><identifier>DOI: 10.1109/VIZ.2009.12</identifier><identifier>LCCN: 2009905373</identifier><language>eng</language><publisher>IEEE</publisher><subject>Character recognition ; Character segmentation ; Cursive scripts ; Educational institutions ; FCC ; Hidden Markov models ; Image segmentation ; Ligature ; Neural networks ; Optical character recognition software ; Pixel ; Shape ; Structural features ; Urdu alphabets ; Visualization</subject><ispartof>2009 Second International Conference in Visualisation, 2009, p.191-195</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/5230742$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5230742$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Malik, H.</creatorcontrib><creatorcontrib>Fahiem, M.A.</creatorcontrib><title>Segmentation of Printed Urdu Scripts Using Structural Features</title><title>2009 Second International Conference in Visualisation</title><addtitle>VIZ</addtitle><description>Character segmentation forms the basis for optical character recognition. In this paper, we have proposed a character segmentation approach for printed Urdu script. Urdu is cursive by nature and its script is written from right to left. Both these factors make the segmentation more difficult and require special attention. Our approach is based on structural features and we have overcome different problems like over segmentation and under segmentation, present in previous approaches. We have achieved an accuracy rate of 99.4% which is better than others. The approach may be very useful for developing an optical character recognition system for Urdu language.</description><subject>Character recognition</subject><subject>Character segmentation</subject><subject>Cursive scripts</subject><subject>Educational institutions</subject><subject>FCC</subject><subject>Hidden Markov models</subject><subject>Image segmentation</subject><subject>Ligature</subject><subject>Neural networks</subject><subject>Optical character recognition software</subject><subject>Pixel</subject><subject>Shape</subject><subject>Structural features</subject><subject>Urdu alphabets</subject><subject>Visualization</subject><isbn>0769537340</isbn><isbn>9780769537344</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0FLAzEUhANS0NaePHrJH9j1Jdkkm4sgxdpCQWFbD15KNnkpkXZbstmD_94tepqZb2BgCHlgUDIG5ulz_VVyAFMyfkOmoJWRQosKJmR6xQau8ZbM-_4bAJhRWkp1R54bPJywyzbHc0fPgX6k2GX0dJf8QBuX4iX3dNfH7kCbnAaXh2SPdIl2NNjfk0mwxx7n_zoj2-XrdrEqNu9v68XLpogGcuHqoBUGW_sWuHXGeaMd414KzmvV6tapOhgZHKJt67EJxrdo2orp8UWoxYw8_s1GRNxfUjzZ9LOXXICuuPgFWfVI9A</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Malik, H.</creator><creator>Fahiem, M.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200907</creationdate><title>Segmentation of Printed Urdu Scripts Using Structural Features</title><author>Malik, H. ; Fahiem, M.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c8f76efa8db02ac9cd97c12d532286b7bc68f95fceeab8c12f9dbe9b417953f83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Character recognition</topic><topic>Character segmentation</topic><topic>Cursive scripts</topic><topic>Educational institutions</topic><topic>FCC</topic><topic>Hidden Markov models</topic><topic>Image segmentation</topic><topic>Ligature</topic><topic>Neural networks</topic><topic>Optical character recognition software</topic><topic>Pixel</topic><topic>Shape</topic><topic>Structural features</topic><topic>Urdu alphabets</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Malik, H.</creatorcontrib><creatorcontrib>Fahiem, M.A.</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 Electronic Library (IEL)</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>Malik, H.</au><au>Fahiem, M.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Segmentation of Printed Urdu Scripts Using Structural Features</atitle><btitle>2009 Second International Conference in Visualisation</btitle><stitle>VIZ</stitle><date>2009-07</date><risdate>2009</risdate><spage>191</spage><epage>195</epage><pages>191-195</pages><isbn>0769537340</isbn><isbn>9780769537344</isbn><abstract>Character segmentation forms the basis for optical character recognition. In this paper, we have proposed a character segmentation approach for printed Urdu script. Urdu is cursive by nature and its script is written from right to left. Both these factors make the segmentation more difficult and require special attention. Our approach is based on structural features and we have overcome different problems like over segmentation and under segmentation, present in previous approaches. We have achieved an accuracy rate of 99.4% which is better than others. The approach may be very useful for developing an optical character recognition system for Urdu language.</abstract><pub>IEEE</pub><doi>10.1109/VIZ.2009.12</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 0769537340 |
| ispartof | 2009 Second International Conference in Visualisation, 2009, p.191-195 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_5230742 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Character recognition Character segmentation Cursive scripts Educational institutions FCC Hidden Markov models Image segmentation Ligature Neural networks Optical character recognition software Pixel Shape Structural features Urdu alphabets Visualization |
| title | Segmentation of Printed Urdu Scripts Using Structural Features |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T05%3A43%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Segmentation%20of%20Printed%20Urdu%20Scripts%20Using%20Structural%20Features&rft.btitle=2009%20Second%20International%20Conference%20in%20Visualisation&rft.au=Malik,%20H.&rft.date=2009-07&rft.spage=191&rft.epage=195&rft.pages=191-195&rft.isbn=0769537340&rft.isbn_list=9780769537344&rft_id=info:doi/10.1109/VIZ.2009.12&rft_dat=%3Cieee_6IE%3E5230742%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5230742&rfr_iscdi=true |