Visual text recognition through contextual processing
Identifieur interne : 003B17 ( Main/Merge ); précédent : 003B16; suivant : 003B18Visual text recognition through contextual processing
Auteurs : R. M. K. Sinha [Canada] ; Birendra Prasada [Canada]Source :
- Pattern Recognition [ 0031-3203 ] ; 1987.
Abstract
In most of the works on contextual processing using a dictionary it is assumed that all the words of the document lie within the dictionary. It is also assumed that a clear word boundary exists. In practice neither is true.In this work we present a two pass contextual processing algorithm limited to the word level using a partial dictionary with an augmented dictionary approach, modified Viterbi algorithm and some heuristics based on pragmatic features. A character confusion matrix obtained through training and weighted with respect to dictionary words within the document is used to generate aliases for the input word. It has been tested with an omnifont character recogniser on documents of varying types. The overall performance of our system exceeds 98% correct character recognition (97% word recognition) which is better than that of other reported works.
Url:
DOI: 10.1016/0031-3203(88)90006-4
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000838
- to stream Istex, to step Curation: 000829
- to stream Istex, to step Checkpoint: 002A95
Links to Exploration step
ISTEX:40428F17F872B9FA6D65042F200F226F25774C00Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Visual text recognition through contextual processing</title><author><name sortKey="Sinha, R M K" sort="Sinha, R M K" uniqKey="Sinha R" first="R. M. K." last="Sinha">R. M. K. Sinha</name></author><author><name sortKey="Prasada, Birendra" sort="Prasada, Birendra" uniqKey="Prasada B" first="Birendra" last="Prasada">Birendra Prasada</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:40428F17F872B9FA6D65042F200F226F25774C00</idno><date when="1988" year="1988">1988</date><idno type="doi">10.1016/0031-3203(88)90006-4</idno><idno type="url">https://api.istex.fr/document/40428F17F872B9FA6D65042F200F226F25774C00/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000838</idno><idno type="wicri:Area/Istex/Curation">000829</idno><idno type="wicri:Area/Istex/Checkpoint">002A95</idno><idno type="wicri:doubleKey">0031-3203:1988:Sinha R:visual:text:recognition</idno><idno type="wicri:Area/Main/Merge">003B17</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Visual text recognition through contextual processing</title><author><name sortKey="Sinha, R M K" sort="Sinha, R M K" uniqKey="Sinha R" first="R. M. K." last="Sinha">R. M. K. Sinha</name><affiliation wicri:level="1"><country>Canada</country><wicri:regionArea>INRS-Télécommunications, 3 Place du Commerce, Ile des Soeurs, Québec</wicri:regionArea><wicri:noRegion>Québec</wicri:noRegion></affiliation></author><author><name sortKey="Prasada, Birendra" sort="Prasada, Birendra" uniqKey="Prasada B" first="Birendra" last="Prasada">Birendra Prasada</name><affiliation wicri:level="1"><country>Canada</country><wicri:regionArea>INRS-Télécommunications, 3 Place du Commerce, Ile des Soeurs, Québec</wicri:regionArea><wicri:noRegion>Québec</wicri:noRegion></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="1987">1987</date><biblScope unit="volume">21</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="463">463</biblScope><biblScope unit="page" to="479">479</biblScope></imprint><idno type="ISSN">0031-3203</idno></series><idno type="istex">40428F17F872B9FA6D65042F200F226F25774C00</idno><idno type="DOI">10.1016/0031-3203(88)90006-4</idno><idno type="PII">0031-3203(88)90006-4</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">In most of the works on contextual processing using a dictionary it is assumed that all the words of the document lie within the dictionary. It is also assumed that a clear word boundary exists. In practice neither is true.In this work we present a two pass contextual processing algorithm limited to the word level using a partial dictionary with an augmented dictionary approach, modified Viterbi algorithm and some heuristics based on pragmatic features. A character confusion matrix obtained through training and weighted with respect to dictionary words within the document is used to generate aliases for the input word. It has been tested with an omnifont character recogniser on documents of varying types. The overall performance of our system exceeds 98% correct character recognition (97% word recognition) which is better than that of other reported works.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003B17 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 003B17 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Merge
|type= RBID
|clé= ISTEX:40428F17F872B9FA6D65042F200F226F25774C00
|texte= Visual text recognition through contextual processing
}}
| This area was generated with Dilib version V0.6.32. |  |