Global and Local Skew Detection of Handwritten Gurmukhi Script

This paper presents a new and efficient method for detection and removal of Global and Varying (Local) Skew. Varying (Local) Skew comes into existence in handwritten script. The proposed method is based on Hough transform and windowing. The proposed method divides the Skewed document into horizontal...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of computer applications 2013-11, Vol.82 (17), p.11-14
Hauptverfasser: Kaur, Mandeep, Bansal, Lovnish, Singh, Jagdeep
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 14
container_issue 17
container_start_page 11
container_title International journal of computer applications
container_volume 82
creator Kaur, Mandeep
Bansal, Lovnish
Singh, Jagdeep
description This paper presents a new and efficient method for detection and removal of Global and Varying (Local) Skew. Varying (Local) Skew comes into existence in handwritten script. The proposed method is based on Hough transform and windowing. The proposed method divides the Skewed document into horizontal windows. Firstly, for each window the values of skew angle is calculated using Hough transform and then average of skew angles is estimated which represents the Skewness of document. Orientation of text is also calculated. Finally, Document is rotated based on average value of skew angle and orientation. The proposed method calculates skew for both printed and handwritten script. The proposed method can also calculate Multiskew. Experiments and results show that proposed method has high accuracy and can work with degraded papers
doi_str_mv 10.5120/14253-1632
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1461379038</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3136537431</sourcerecordid><originalsourceid>FETCH-LOGICAL-c992-42e8ac78f54d761fb38517a466293b7d83f5bdbd87512840f379153ea6684cbd3</originalsourceid><addsrcrecordid>eNpNkE1LAzEQhoMoWGov_oKAN2E13x8XQapuhQUP7T1kswluu93U7C7Ff29qPTiXeWEeZpgHgFuMHjgm6BEzwmmBBSUXYIa05IVSSl7-y9dgMQxblItqIjSbgaeyi7XtoO0bWEWX03rnj_DFj96NbexhDHCVh8fUjqPvYTml_bT7bOHapfYw3oCrYLvBL_76HGzeXjfLVVF9lO_L56pwWpOCEa-skypw1kiBQ00Vx9IyIYimtWwUDbxu6kbJ_IdiKFCpMafeCqGYqxs6B3fntYcUvyY_jGYbp9TniwYzgTOOqMrU_ZlyKQ5D8sEcUru36dtgZE6GzK8hczJEfwCdAFWX</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1461379038</pqid></control><display><type>article</type><title>Global and Local Skew Detection of Handwritten Gurmukhi Script</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Kaur, Mandeep ; Bansal, Lovnish ; Singh, Jagdeep</creator><creatorcontrib>Kaur, Mandeep ; Bansal, Lovnish ; Singh, Jagdeep</creatorcontrib><description>This paper presents a new and efficient method for detection and removal of Global and Varying (Local) Skew. Varying (Local) Skew comes into existence in handwritten script. The proposed method is based on Hough transform and windowing. The proposed method divides the Skewed document into horizontal windows. Firstly, for each window the values of skew angle is calculated using Hough transform and then average of skew angles is estimated which represents the Skewness of document. Orientation of text is also calculated. Finally, Document is rotated based on average value of skew angle and orientation. The proposed method calculates skew for both printed and handwritten script. The proposed method can also calculate Multiskew. Experiments and results show that proposed method has high accuracy and can work with degraded papers</description><identifier>ISSN: 0975-8887</identifier><identifier>EISSN: 0975-8887</identifier><identifier>DOI: 10.5120/14253-1632</identifier><language>eng</language><publisher>New York: Foundation of Computer Science</publisher><ispartof>International journal of computer applications, 2013-11, Vol.82 (17), p.11-14</ispartof><rights>Copyright Foundation of Computer Science 2013</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Kaur, Mandeep</creatorcontrib><creatorcontrib>Bansal, Lovnish</creatorcontrib><creatorcontrib>Singh, Jagdeep</creatorcontrib><title>Global and Local Skew Detection of Handwritten Gurmukhi Script</title><title>International journal of computer applications</title><description>This paper presents a new and efficient method for detection and removal of Global and Varying (Local) Skew. Varying (Local) Skew comes into existence in handwritten script. The proposed method is based on Hough transform and windowing. The proposed method divides the Skewed document into horizontal windows. Firstly, for each window the values of skew angle is calculated using Hough transform and then average of skew angles is estimated which represents the Skewness of document. Orientation of text is also calculated. Finally, Document is rotated based on average value of skew angle and orientation. The proposed method calculates skew for both printed and handwritten script. The proposed method can also calculate Multiskew. Experiments and results show that proposed method has high accuracy and can work with degraded papers</description><issn>0975-8887</issn><issn>0975-8887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNpNkE1LAzEQhoMoWGov_oKAN2E13x8XQapuhQUP7T1kswluu93U7C7Ff29qPTiXeWEeZpgHgFuMHjgm6BEzwmmBBSUXYIa05IVSSl7-y9dgMQxblItqIjSbgaeyi7XtoO0bWEWX03rnj_DFj96NbexhDHCVh8fUjqPvYTml_bT7bOHapfYw3oCrYLvBL_76HGzeXjfLVVF9lO_L56pwWpOCEa-skypw1kiBQ00Vx9IyIYimtWwUDbxu6kbJ_IdiKFCpMafeCqGYqxs6B3fntYcUvyY_jGYbp9TniwYzgTOOqMrU_ZlyKQ5D8sEcUru36dtgZE6GzK8hczJEfwCdAFWX</recordid><startdate>20131122</startdate><enddate>20131122</enddate><creator>Kaur, Mandeep</creator><creator>Bansal, Lovnish</creator><creator>Singh, Jagdeep</creator><general>Foundation of Computer Science</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20131122</creationdate><title>Global and Local Skew Detection of Handwritten Gurmukhi Script</title><author>Kaur, Mandeep ; Bansal, Lovnish ; Singh, Jagdeep</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c992-42e8ac78f54d761fb38517a466293b7d83f5bdbd87512840f379153ea6684cbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Kaur, Mandeep</creatorcontrib><creatorcontrib>Bansal, Lovnish</creatorcontrib><creatorcontrib>Singh, Jagdeep</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of computer applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaur, Mandeep</au><au>Bansal, Lovnish</au><au>Singh, Jagdeep</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global and Local Skew Detection of Handwritten Gurmukhi Script</atitle><jtitle>International journal of computer applications</jtitle><date>2013-11-22</date><risdate>2013</risdate><volume>82</volume><issue>17</issue><spage>11</spage><epage>14</epage><pages>11-14</pages><issn>0975-8887</issn><eissn>0975-8887</eissn><abstract>This paper presents a new and efficient method for detection and removal of Global and Varying (Local) Skew. Varying (Local) Skew comes into existence in handwritten script. The proposed method is based on Hough transform and windowing. The proposed method divides the Skewed document into horizontal windows. Firstly, for each window the values of skew angle is calculated using Hough transform and then average of skew angles is estimated which represents the Skewness of document. Orientation of text is also calculated. Finally, Document is rotated based on average value of skew angle and orientation. The proposed method calculates skew for both printed and handwritten script. The proposed method can also calculate Multiskew. Experiments and results show that proposed method has high accuracy and can work with degraded papers</abstract><cop>New York</cop><pub>Foundation of Computer Science</pub><doi>10.5120/14253-1632</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0975-8887
ispartof International journal of computer applications, 2013-11, Vol.82 (17), p.11-14
issn 0975-8887
0975-8887
language eng
recordid cdi_proquest_journals_1461379038
source EZB-FREE-00999 freely available EZB journals
title Global and Local Skew Detection of Handwritten Gurmukhi Script
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T17%3A17%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Global%20and%20Local%20Skew%20Detection%20of%20Handwritten%20Gurmukhi%20Script&rft.jtitle=International%20journal%20of%20computer%20applications&rft.au=Kaur,%20Mandeep&rft.date=2013-11-22&rft.volume=82&rft.issue=17&rft.spage=11&rft.epage=14&rft.pages=11-14&rft.issn=0975-8887&rft.eissn=0975-8887&rft_id=info:doi/10.5120/14253-1632&rft_dat=%3Cproquest_cross%3E3136537431%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1461379038&rft_id=info:pmid/&rfr_iscdi=true