Loading…

Multiple word segmentation with interactive look-up for cursive script recognition

Cursive script recognition is commonly based on finding letters within a word and recognizing them separately. The segmentation process is ambiguous and difficult. A method which combines word segmentation and letter recognition with lexical look-up in order to cope with segmentation ambiguity is pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Powalka, R.K., Sherkat, N., Evett, L.J., Whitrow, R.J.
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 199
container_issue
container_start_page 196
container_title
container_volume
creator Powalka, R.K.
Sherkat, N.
Evett, L.J.
Whitrow, R.J.
description Cursive script recognition is commonly based on finding letters within a word and recognizing them separately. The segmentation process is ambiguous and difficult. A method which combines word segmentation and letter recognition with lexical look-up in order to cope with segmentation ambiguity is presented. Words are first segmented into small elements which are then put together using a database of their possible combinations to produce alternative segmentations. Letter recognition is performed on each letter candidate and lexical look-up is applied, interactively, to prune illegal word recognition results. Lexical look-up is used to postulate word endings for partially recognized words. This provides the means of catering for words with sloppy endings, some misspellings and recovering from some recognition errors. An online cursive script recognition system, based on the above method, is described and evaluated.< >
doi_str_mv 10.1109/ICDAR.1993.395750
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_395750</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>395750</ieee_id><sourcerecordid>395750</sourcerecordid><originalsourceid>FETCH-ieee_primary_3957503</originalsourceid><addsrcrecordid>eNp9jssKgkAYhQci6OYD1GpeQJvRvMwyrKhFG2kvYr_2lzoyMya9fUmtO5sD3-GDQ8iSM4dzJtaneLdNHC6E53jCD302IjMW8SjYiICFE2JpfWef-H7kuuGUJOeuMthWQHuprlRDWUNjMoOyoT2aG8XGgMpyg0-glZQPu2tpIRXNO6UHpnOFraEKclk2OHgLMi6ySoP16zlZHfaX-GgjAKStwjpTr_T7zvs7vgGOOUBq</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Multiple word segmentation with interactive look-up for cursive script recognition</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Powalka, R.K. ; Sherkat, N. ; Evett, L.J. ; Whitrow, R.J.</creator><creatorcontrib>Powalka, R.K. ; Sherkat, N. ; Evett, L.J. ; Whitrow, R.J.</creatorcontrib><description>Cursive script recognition is commonly based on finding letters within a word and recognizing them separately. The segmentation process is ambiguous and difficult. A method which combines word segmentation and letter recognition with lexical look-up in order to cope with segmentation ambiguity is presented. Words are first segmented into small elements which are then put together using a database of their possible combinations to produce alternative segmentations. Letter recognition is performed on each letter candidate and lexical look-up is applied, interactively, to prune illegal word recognition results. Lexical look-up is used to postulate word endings for partially recognized words. This provides the means of catering for words with sloppy endings, some misspellings and recovering from some recognition errors. An online cursive script recognition system, based on the above method, is described and evaluated.&lt; &gt;</description><identifier>ISBN: 0818649607</identifier><identifier>ISBN: 9780818649608</identifier><identifier>DOI: 10.1109/ICDAR.1993.395750</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Electronic mail ; Handwriting recognition ; Keyboards ; Pattern recognition ; Robustness ; Text recognition ; Vocabulary ; Writing</subject><ispartof>Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 1993, p.196-199</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/395750$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/395750$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Powalka, R.K.</creatorcontrib><creatorcontrib>Sherkat, N.</creatorcontrib><creatorcontrib>Evett, L.J.</creatorcontrib><creatorcontrib>Whitrow, R.J.</creatorcontrib><title>Multiple word segmentation with interactive look-up for cursive script recognition</title><title>Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93)</title><addtitle>ICDAR</addtitle><description>Cursive script recognition is commonly based on finding letters within a word and recognizing them separately. The segmentation process is ambiguous and difficult. A method which combines word segmentation and letter recognition with lexical look-up in order to cope with segmentation ambiguity is presented. Words are first segmented into small elements which are then put together using a database of their possible combinations to produce alternative segmentations. Letter recognition is performed on each letter candidate and lexical look-up is applied, interactively, to prune illegal word recognition results. Lexical look-up is used to postulate word endings for partially recognized words. This provides the means of catering for words with sloppy endings, some misspellings and recovering from some recognition errors. An online cursive script recognition system, based on the above method, is described and evaluated.&lt; &gt;</description><subject>Electronic mail</subject><subject>Handwriting recognition</subject><subject>Keyboards</subject><subject>Pattern recognition</subject><subject>Robustness</subject><subject>Text recognition</subject><subject>Vocabulary</subject><subject>Writing</subject><isbn>0818649607</isbn><isbn>9780818649608</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9jssKgkAYhQci6OYD1GpeQJvRvMwyrKhFG2kvYr_2lzoyMya9fUmtO5sD3-GDQ8iSM4dzJtaneLdNHC6E53jCD302IjMW8SjYiICFE2JpfWef-H7kuuGUJOeuMthWQHuprlRDWUNjMoOyoT2aG8XGgMpyg0-glZQPu2tpIRXNO6UHpnOFraEKclk2OHgLMi6ySoP16zlZHfaX-GgjAKStwjpTr_T7zvs7vgGOOUBq</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Powalka, R.K.</creator><creator>Sherkat, N.</creator><creator>Evett, L.J.</creator><creator>Whitrow, R.J.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1993</creationdate><title>Multiple word segmentation with interactive look-up for cursive script recognition</title><author>Powalka, R.K. ; Sherkat, N. ; Evett, L.J. ; Whitrow, R.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_3957503</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Electronic mail</topic><topic>Handwriting recognition</topic><topic>Keyboards</topic><topic>Pattern recognition</topic><topic>Robustness</topic><topic>Text recognition</topic><topic>Vocabulary</topic><topic>Writing</topic><toplevel>online_resources</toplevel><creatorcontrib>Powalka, R.K.</creatorcontrib><creatorcontrib>Sherkat, N.</creatorcontrib><creatorcontrib>Evett, L.J.</creatorcontrib><creatorcontrib>Whitrow, R.J.</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 Xplore (IEEE/IET 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>Powalka, R.K.</au><au>Sherkat, N.</au><au>Evett, L.J.</au><au>Whitrow, R.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multiple word segmentation with interactive look-up for cursive script recognition</atitle><btitle>Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93)</btitle><stitle>ICDAR</stitle><date>1993</date><risdate>1993</risdate><spage>196</spage><epage>199</epage><pages>196-199</pages><isbn>0818649607</isbn><isbn>9780818649608</isbn><abstract>Cursive script recognition is commonly based on finding letters within a word and recognizing them separately. The segmentation process is ambiguous and difficult. A method which combines word segmentation and letter recognition with lexical look-up in order to cope with segmentation ambiguity is presented. Words are first segmented into small elements which are then put together using a database of their possible combinations to produce alternative segmentations. Letter recognition is performed on each letter candidate and lexical look-up is applied, interactively, to prune illegal word recognition results. Lexical look-up is used to postulate word endings for partially recognized words. This provides the means of catering for words with sloppy endings, some misspellings and recovering from some recognition errors. An online cursive script recognition system, based on the above method, is described and evaluated.&lt; &gt;</abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICDAR.1993.395750</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 0818649607
ispartof Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 1993, p.196-199
issn
language eng
recordid cdi_ieee_primary_395750
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Electronic mail
Handwriting recognition
Keyboards
Pattern recognition
Robustness
Text recognition
Vocabulary
Writing
title Multiple word segmentation with interactive look-up for cursive script recognition
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T20%3A14%3A44IST&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=Multiple%20word%20segmentation%20with%20interactive%20look-up%20for%20cursive%20script%20recognition&rft.btitle=Proceedings%20of%202nd%20International%20Conference%20on%20Document%20Analysis%20and%20Recognition%20(ICDAR%20'93)&rft.au=Powalka,%20R.K.&rft.date=1993&rft.spage=196&rft.epage=199&rft.pages=196-199&rft.isbn=0818649607&rft.isbn_list=9780818649608&rft_id=info:doi/10.1109/ICDAR.1993.395750&rft_dat=%3Cieee_6IE%3E395750%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-ieee_primary_3957503%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=395750&rfr_iscdi=true