Document Image Retrieval: An Overview
The economic feasibility of creating a large database of document image has left a tremendous need for robust ways to access the information. Printed documents are scanned for archiving or in an attempt to move towards a paperless office and are stored as images. In this paper, we provide a survey o...
Gespeichert in:
| Veröffentlicht in: | International journal of computer applications 2010-02, Vol.1 (7), p.128-130 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 130 |
|---|---|
| container_issue | 7 |
| container_start_page | 128 |
| container_title | International journal of computer applications |
| container_volume | 1 |
| creator | Shirdhonkar, M S Kokare, Manesh B |
| description | The economic feasibility of creating a large database of document image has left a tremendous need for robust ways to access the information. Printed documents are scanned for archiving or in an attempt to move towards a paperless office and are stored as images. In this paper, we provide a survey of methods developed by researchers to access document images. The survey includes papers covering the current state of art on the research in document image retrieval based on images such as signature, logo, machine-print, different fonts etc. |
| doi_str_mv | 10.5120/152-274 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_787247228</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>787247228</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1244-96a8c3d68510b344808f3a4191341bd9f8d6901ef445e2d3397cbfce8831fa143</originalsourceid><addsrcrecordid>eNpdkFtLAzEQhYMoWLT4FxZBfFrNZXYz8a3UW6FQEH0OaXYiW_ZSk27Ff--KguJwYM7D4XD4GDsT_KoQkl-LQuZSwwGbcKOLHBH14R9_zKYpbfh4ysjSwIRd3PZ-aKnbZYvWvVL2RLtY0941N9msy1Z7ivua3k_ZUXBNounPP2Ev93fP88d8uXpYzGfL3AsJkJvSoVdViYXgawWAHINyIIxQINaVCViVhgsKAAXJSimj_Tp4QlQiOAHqhF1-925j_zZQ2tm2Tp6axnXUD8lq1BK0lDgmz_8lN_0Qu3GcRQGjyhJ_63zsU4oU7DbWrYsfVnD7xcuOvOzIS30CBElYkQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>814814668</pqid></control><display><type>article</type><title>Document Image Retrieval: An Overview</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Shirdhonkar, M S ; Kokare, Manesh B</creator><creatorcontrib>Shirdhonkar, M S ; Kokare, Manesh B</creatorcontrib><description>The economic feasibility of creating a large database of document image has left a tremendous need for robust ways to access the information. Printed documents are scanned for archiving or in an attempt to move towards a paperless office and are stored as images. In this paper, we provide a survey of methods developed by researchers to access document images. The survey includes papers covering the current state of art on the research in document image retrieval based on images such as signature, logo, machine-print, different fonts etc.</description><identifier>ISSN: 0975-8887</identifier><identifier>EISSN: 0975-8887</identifier><identifier>DOI: 10.5120/152-274</identifier><language>eng</language><publisher>New York: Foundation of Computer Science</publisher><subject>Archiving ; Economics ; Feasibility ; Fonts ; Logos ; Offices ; Retrieval</subject><ispartof>International journal of computer applications, 2010-02, Vol.1 (7), p.128-130</ispartof><rights>Copyright Foundation of Computer Science 2010</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>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Shirdhonkar, M S</creatorcontrib><creatorcontrib>Kokare, Manesh B</creatorcontrib><title>Document Image Retrieval: An Overview</title><title>International journal of computer applications</title><description>The economic feasibility of creating a large database of document image has left a tremendous need for robust ways to access the information. Printed documents are scanned for archiving or in an attempt to move towards a paperless office and are stored as images. In this paper, we provide a survey of methods developed by researchers to access document images. The survey includes papers covering the current state of art on the research in document image retrieval based on images such as signature, logo, machine-print, different fonts etc.</description><subject>Archiving</subject><subject>Economics</subject><subject>Feasibility</subject><subject>Fonts</subject><subject>Logos</subject><subject>Offices</subject><subject>Retrieval</subject><issn>0975-8887</issn><issn>0975-8887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNpdkFtLAzEQhYMoWLT4FxZBfFrNZXYz8a3UW6FQEH0OaXYiW_ZSk27Ff--KguJwYM7D4XD4GDsT_KoQkl-LQuZSwwGbcKOLHBH14R9_zKYpbfh4ysjSwIRd3PZ-aKnbZYvWvVL2RLtY0941N9msy1Z7ivua3k_ZUXBNounPP2Ev93fP88d8uXpYzGfL3AsJkJvSoVdViYXgawWAHINyIIxQINaVCViVhgsKAAXJSimj_Tp4QlQiOAHqhF1-925j_zZQ2tm2Tp6axnXUD8lq1BK0lDgmz_8lN_0Qu3GcRQGjyhJ_63zsU4oU7DbWrYsfVnD7xcuOvOzIS30CBElYkQ</recordid><startdate>20100225</startdate><enddate>20100225</enddate><creator>Shirdhonkar, M S</creator><creator>Kokare, Manesh B</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>20100225</creationdate><title>Document Image Retrieval: An Overview</title><author>Shirdhonkar, M S ; Kokare, Manesh B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1244-96a8c3d68510b344808f3a4191341bd9f8d6901ef445e2d3397cbfce8831fa143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Archiving</topic><topic>Economics</topic><topic>Feasibility</topic><topic>Fonts</topic><topic>Logos</topic><topic>Offices</topic><topic>Retrieval</topic><toplevel>online_resources</toplevel><creatorcontrib>Shirdhonkar, M S</creatorcontrib><creatorcontrib>Kokare, Manesh B</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>Shirdhonkar, M S</au><au>Kokare, Manesh B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Document Image Retrieval: An Overview</atitle><jtitle>International journal of computer applications</jtitle><date>2010-02-25</date><risdate>2010</risdate><volume>1</volume><issue>7</issue><spage>128</spage><epage>130</epage><pages>128-130</pages><issn>0975-8887</issn><eissn>0975-8887</eissn><abstract>The economic feasibility of creating a large database of document image has left a tremendous need for robust ways to access the information. Printed documents are scanned for archiving or in an attempt to move towards a paperless office and are stored as images. In this paper, we provide a survey of methods developed by researchers to access document images. The survey includes papers covering the current state of art on the research in document image retrieval based on images such as signature, logo, machine-print, different fonts etc.</abstract><cop>New York</cop><pub>Foundation of Computer Science</pub><doi>10.5120/152-274</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0975-8887 |
| ispartof | International journal of computer applications, 2010-02, Vol.1 (7), p.128-130 |
| issn | 0975-8887 0975-8887 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_787247228 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Archiving Economics Feasibility Fonts Logos Offices Retrieval |
| title | Document Image Retrieval: An Overview |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T11%3A02%3A42IST&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=Document%20Image%20Retrieval:%20An%20Overview&rft.jtitle=International%20journal%20of%20computer%20applications&rft.au=Shirdhonkar,%20M%20S&rft.date=2010-02-25&rft.volume=1&rft.issue=7&rft.spage=128&rft.epage=130&rft.pages=128-130&rft.issn=0975-8887&rft.eissn=0975-8887&rft_id=info:doi/10.5120/152-274&rft_dat=%3Cproquest_cross%3E787247228%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=814814668&rft_id=info:pmid/&rfr_iscdi=true |