Recovering dynamic information from static handwriting
Identifieur interne : 000332 ( Istex/Corpus ); précédent : 000331; suivant : 000333Recovering dynamic information from static handwriting
Auteurs : G. Boccignone ; A. Chianese ; L. P. Cordella ; A. MarcelliSource :
- Pattern Recognition [ 0031-3203 ] ; 1993.
Abstract
It is generally agreed that the advantage of on-line character recognition methods with respect to off-line ones mostly relies on the availability of dynamic information. This mainly concerns the order in which the strokes forming characters have been drawn. In this paper we present and discuss a method which attempts, in the off-line case, to recover part of the lost script dynamics. The method makes it possible to reconstruct one of the most likely trajectories followed by the writer while drawing characters. It is based on a suitable implementation of good continuity criteria which take into account direction, length and width of the strokes making up characters. The algorithm either subdivides or unfolds the digital ribbon forming isolated characters as well as groups of connected characters, by solving the ambiguities which arise at every joint. Experimental results are reported and discussed.
Url:
DOI: 10.1016/0031-3203(93)90168-V
Links to Exploration step
ISTEX:BB2526051E4B08D8B50C9067541C07ADFC1F4B83Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Recovering dynamic information from static handwriting</title><author><name sortKey="Boccignone, G" sort="Boccignone, G" uniqKey="Boccignone G" first="G." last="Boccignone">G. Boccignone</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author><author><name sortKey="Chianese, A" sort="Chianese, A" uniqKey="Chianese A" first="A." last="Chianese">A. Chianese</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author><author><name sortKey="Cordella, L P" sort="Cordella, L P" uniqKey="Cordella L" first="L. P." last="Cordella">L. P. Cordella</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author><author><name sortKey="Marcelli, A" sort="Marcelli, A" uniqKey="Marcelli A" first="A." last="Marcelli">A. Marcelli</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:BB2526051E4B08D8B50C9067541C07ADFC1F4B83</idno><date when="1993" year="1993">1993</date><idno type="doi">10.1016/0031-3203(93)90168-V</idno><idno type="url">https://api.istex.fr/document/BB2526051E4B08D8B50C9067541C07ADFC1F4B83/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000332</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Recovering dynamic information from static handwriting</title><author><name sortKey="Boccignone, G" sort="Boccignone, G" uniqKey="Boccignone G" first="G." last="Boccignone">G. Boccignone</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author><author><name sortKey="Chianese, A" sort="Chianese, A" uniqKey="Chianese A" first="A." last="Chianese">A. Chianese</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author><author><name sortKey="Cordella, L P" sort="Cordella, L P" uniqKey="Cordella L" first="L. P." last="Cordella">L. P. Cordella</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author><author><name sortKey="Marcelli, A" sort="Marcelli, A" uniqKey="Marcelli A" first="A." last="Marcelli">A. Marcelli</name><affiliation><mods:affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Pattern Recognition</title><title level="j" type="abbrev">PR</title><idno type="ISSN">0031-3203</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1993">1993</date><biblScope unit="volume">26</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="409">409</biblScope><biblScope unit="page" to="418">418</biblScope></imprint><idno type="ISSN">0031-3203</idno></series><idno type="istex">BB2526051E4B08D8B50C9067541C07ADFC1F4B83</idno><idno type="DOI">10.1016/0031-3203(93)90168-V</idno><idno type="PII">0031-3203(93)90168-V</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0031-3203</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">It is generally agreed that the advantage of on-line character recognition methods with respect to off-line ones mostly relies on the availability of dynamic information. This mainly concerns the order in which the strokes forming characters have been drawn. In this paper we present and discuss a method which attempts, in the off-line case, to recover part of the lost script dynamics. The method makes it possible to reconstruct one of the most likely trajectories followed by the writer while drawing characters. It is based on a suitable implementation of good continuity criteria which take into account direction, length and width of the strokes making up characters. The algorithm either subdivides or unfolds the digital ribbon forming isolated characters as well as groups of connected characters, by solving the ambiguities which arise at every joint. Experimental results are reported and discussed.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>G. Boccignone</name><affiliations><json:string>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</json:string></affiliations></json:item><json:item><name>A. Chianese</name><affiliations><json:string>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</json:string></affiliations></json:item><json:item><name>L.P. Cordella</name><affiliations><json:string>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</json:string></affiliations></json:item><json:item><name>A. Marcelli</name><affiliations><json:string>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>OCR</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Handprint</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Handwriting</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Off-line recognition</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Dynamic information</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Thinning</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Skeleton shape fidelity</value></json:item></subject><language><json:string>eng</json:string></language><abstract>It is generally agreed that the advantage of on-line character recognition methods with respect to off-line ones mostly relies on the availability of dynamic information. This mainly concerns the order in which the strokes forming characters have been drawn. In this paper we present and discuss a method which attempts, in the off-line case, to recover part of the lost script dynamics. The method makes it possible to reconstruct one of the most likely trajectories followed by the writer while drawing characters. It is based on a suitable implementation of good continuity criteria which take into account direction, length and width of the strokes making up characters. The algorithm either subdivides or unfolds the digital ribbon forming isolated characters as well as groups of connected characters, by solving the ambiguities which arise at every joint. Experimental results are reported and discussed.</abstract><qualityIndicators><score>6.54</score><pdfVersion>1.2</pdfVersion><pdfPageSize>547 x 792 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>7</keywordCount><abstractCharCount>911</abstractCharCount><pdfWordCount>4848</pdfWordCount><pdfCharCount>28620</pdfCharCount><pdfPageCount>10</pdfPageCount><abstractWordCount>141</abstractWordCount></qualityIndicators><title>Recovering dynamic information from static handwriting</title><pii><json:string>0031-3203(93)90168-V</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>26</volume><pii><json:string>S0031-3203(00)X0204-X</json:string></pii><pages><last>418</last><first>409</first></pages><issn><json:string>0031-3203</json:string></issn><issue>3</issue><genre><json:string>Journal</json:string></genre><language><json:string>unknown</json:string></language><title>Pattern Recognition</title><publicationDate>1993</publicationDate></host><categories><wos><json:string>COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</json:string><json:string>ENGINEERING, ELECTRICAL & ELECTRONIC</json:string></wos></categories><publicationDate>1993</publicationDate><copyrightDate>1993</copyrightDate><doi><json:string>10.1016/0031-3203(93)90168-V</json:string></doi><id>BB2526051E4B08D8B50C9067541C07ADFC1F4B83</id><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/BB2526051E4B08D8B50C9067541C07ADFC1F4B83/fulltext/pdf</uri></json:item><json:item><original>true</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/BB2526051E4B08D8B50C9067541C07ADFC1F4B83/fulltext/txt</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/BB2526051E4B08D8B50C9067541C07ADFC1F4B83/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/BB2526051E4B08D8B50C9067541C07ADFC1F4B83/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Recovering dynamic information from static handwriting</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>ELSEVIER</p></availability><date>1993</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Recovering dynamic information from static handwriting</title><author><persName><forename type="first">G.</forename><surname>Boccignone</surname></persName><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation></author><author><persName><forename type="first">A.</forename><surname>Chianese</surname></persName><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation></author><author><persName><forename type="first">L.P.</forename><surname>Cordella</surname></persName><affiliation>Author to whom all correspondence should be addressed.</affiliation><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation></author><author><persName><forename type="first">A.</forename><surname>Marcelli</surname></persName><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation></author></analytic><monogr><title level="j">Pattern Recognition</title><title level="j" type="abbrev">PR</title><idno type="pISSN">0031-3203</idno><idno type="PII">S0031-3203(00)X0204-X</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1993"></date><biblScope unit="volume">26</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="409">409</biblScope><biblScope unit="page" to="418">418</biblScope></imprint></monogr><idno type="istex">BB2526051E4B08D8B50C9067541C07ADFC1F4B83</idno><idno type="DOI">10.1016/0031-3203(93)90168-V</idno><idno type="PII">0031-3203(93)90168-V</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1993</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>It is generally agreed that the advantage of on-line character recognition methods with respect to off-line ones mostly relies on the availability of dynamic information. This mainly concerns the order in which the strokes forming characters have been drawn. In this paper we present and discuss a method which attempts, in the off-line case, to recover part of the lost script dynamics. The method makes it possible to reconstruct one of the most likely trajectories followed by the writer while drawing characters. It is based on a suitable implementation of good continuity criteria which take into account direction, length and width of the strokes making up characters. The algorithm either subdivides or unfolds the digital ribbon forming isolated characters as well as groups of connected characters, by solving the ambiguities which arise at every joint. Experimental results are reported and discussed.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>OCR</term></item><item><term>Handprint</term></item><item><term>Handwriting</term></item><item><term>Off-line recognition</term></item><item><term>Dynamic information</term></item><item><term>Thinning</term></item><item><term>Skeleton shape fidelity</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1993">Published</change></revisionDesc></teiHeader></istex:fulltextTEI></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>PR</jid><aid>9390168V</aid><ce:pii>0031-3203(93)90168-V</ce:pii><ce:doi>10.1016/0031-3203(93)90168-V</ce:doi><ce:copyright type="unknown" year="1993"></ce:copyright></item-info><head><ce:title>Recovering dynamic information from static handwriting</ce:title><ce:author-group><ce:author><ce:given-name>G.</ce:given-name><ce:surname>Boccignone</ce:surname></ce:author><ce:author><ce:given-name>A.</ce:given-name><ce:surname>Chianese</ce:surname></ce:author><ce:author><ce:given-name>L.P.</ce:given-name><ce:surname>Cordella</ce:surname><ce:cross-ref refid="COR1"><ce:sup>†</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>A.</ce:given-name><ce:surname>Marcelli</ce:surname></ce:author><ce:affiliation><ce:textfn>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</ce:textfn></ce:affiliation><ce:correspondence id="COR1"><ce:label>†</ce:label><ce:text>Author to whom all correspondence should be addressed.</ce:text></ce:correspondence></ce:author-group><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>It is generally agreed that the advantage of on-line character recognition methods with respect to off-line ones mostly relies on the availability of dynamic information. This mainly concerns the order in which the strokes forming characters have been drawn. In this paper we present and discuss a method which attempts, in the off-line case, to recover part of the lost script dynamics. The method makes it possible to reconstruct one of the most likely trajectories followed by the writer while drawing characters. It is based on a suitable implementation of good continuity criteria which take into account direction, length and width of the strokes making up characters. The algorithm either subdivides or unfolds the digital ribbon forming isolated characters as well as groups of connected characters, by solving the ambiguities which arise at every joint. Experimental results are reported and discussed.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>OCR</ce:text></ce:keyword><ce:keyword><ce:text>Handprint</ce:text></ce:keyword><ce:keyword><ce:text>Handwriting</ce:text></ce:keyword><ce:keyword><ce:text>Off-line recognition</ce:text></ce:keyword><ce:keyword><ce:text>Dynamic information</ce:text></ce:keyword><ce:keyword><ce:text>Thinning</ce:text></ce:keyword><ce:keyword><ce:text>Skeleton shape fidelity</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Recovering dynamic information from static handwriting</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Recovering dynamic information from static handwriting</title></titleInfo><name type="personal"><namePart type="given">G.</namePart><namePart type="family">Boccignone</namePart><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">A.</namePart><namePart type="family">Chianese</namePart><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">L.P.</namePart><namePart type="family">Cordella</namePart><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation><description>Author to whom all correspondence should be addressed.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">A.</namePart><namePart type="family">Marcelli</namePart><affiliation>Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Via Claudio, 21, 80125 Naples, Italy</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1993</dateIssued><copyrightDate encoding="w3cdtf">1993</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">It is generally agreed that the advantage of on-line character recognition methods with respect to off-line ones mostly relies on the availability of dynamic information. This mainly concerns the order in which the strokes forming characters have been drawn. In this paper we present and discuss a method which attempts, in the off-line case, to recover part of the lost script dynamics. The method makes it possible to reconstruct one of the most likely trajectories followed by the writer while drawing characters. It is based on a suitable implementation of good continuity criteria which take into account direction, length and width of the strokes making up characters. The algorithm either subdivides or unfolds the digital ribbon forming isolated characters as well as groups of connected characters, by solving the ambiguities which arise at every joint. Experimental results are reported and discussed.</abstract><subject><genre>Keywords</genre><topic>OCR</topic><topic>Handprint</topic><topic>Handwriting</topic><topic>Off-line recognition</topic><topic>Dynamic information</topic><topic>Thinning</topic><topic>Skeleton shape fidelity</topic></subject><relatedItem type="host"><titleInfo><title>Pattern Recognition</title></titleInfo><titleInfo type="abbreviated"><title>PR</title></titleInfo><genre type="Journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199303</dateIssued></originInfo><identifier type="ISSN">0031-3203</identifier><identifier type="PII">S0031-3203(00)X0204-X</identifier><part><date>199303</date><detail type="volume"><number>26</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>379</start><end>460</end></extent><extent unit="pages"><start>409</start><end>418</end></extent></part></relatedItem><identifier type="istex">BB2526051E4B08D8B50C9067541C07ADFC1F4B83</identifier><identifier type="DOI">10.1016/0031-3203(93)90168-V</identifier><identifier type="PII">0031-3203(93)90168-V</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><enrichments><istex:catWosTEI uri="https://api.istex.fr/document/BB2526051E4B08D8B50C9067541C07ADFC1F4B83/enrichments/catWos"><teiHeader><profileDesc><textClass><classCode scheme="WOS">COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</classCode><classCode scheme="WOS">ENGINEERING, ELECTRICAL & ELECTRONIC</classCode></textClass></profileDesc></teiHeader></istex:catWosTEI></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000332 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000332 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:BB2526051E4B08D8B50C9067541C07ADFC1F4B83
|texte= Recovering dynamic information from static handwriting
}}
| This area was generated with Dilib version V0.6.32. |  |