Rejection Strategies Involving Classifier Combination for Handwriting Recognition
Identifieur interne : 000E00 ( Main/Exploration ); précédent : 000D99; suivant : 000E01Rejection Strategies Involving Classifier Combination for Handwriting Recognition
Auteurs : A. Rodríguez [Espagne] ; Gemma Sánchez [Espagne] ; Josep Llad S [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: This paper introduces a general methodology for detecting and reducing the errors in a handwriting recognition task. The methodology is based on confidence modeling and its main difference is the use of two parallel classifiers for error assessment. The experimental benchmark associated with this approach is described as well as exhaustive results are provided for two real world recognizers on a large database.
Url:
DOI: 10.1007/978-3-540-72849-8_13
Affiliations:
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Rodríguez</name><affiliation wicri:level="2"><country xml:lang="fr">Espagne</country><wicri:regionArea>Computer Vision Center Computer Science Department, Edifici O, Campus Bellaterra, 08913 Bellaterra</wicri:regionArea><placeName><region nuts="2" type="communauté">Catalogne</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Espagne</country></affiliation></author><author><name sortKey="Sanchez, Gemma" sort="Sanchez, Gemma" uniqKey="Sanchez G" first="Gemma" last="Sánchez">Gemma Sánchez</name><affiliation wicri:level="2"><country xml:lang="fr">Espagne</country><wicri:regionArea>Computer Vision Center Computer Science Department, Edifici O, Campus Bellaterra, 08913 Bellaterra</wicri:regionArea><placeName><region nuts="2" type="communauté">Catalogne</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Espagne</country></affiliation></author><author><name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name><affiliation wicri:level="2"><country xml:lang="fr">Espagne</country><wicri:regionArea>Computer Vision Center Computer Science Department, Edifici O, Campus Bellaterra, 08913 Bellaterra</wicri:regionArea><placeName><region nuts="2" type="communauté">Catalogne</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Espagne</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2007</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">B16F159BED14D1C484C6A677B54A36041E373FC2</idno><idno type="DOI">10.1007/978-3-540-72849-8_13</idno><idno type="ChapterID">13</idno><idno type="ChapterID">Chap13</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: This paper introduces a general methodology for detecting and reducing the errors in a handwriting recognition task. The methodology is based on confidence modeling and its main difference is the use of two parallel classifiers for error assessment. The experimental benchmark associated with this approach is described as well as exhaustive results are provided for two real world recognizers on a large database.</div></front></TEI><affiliations><list><country><li>Espagne</li></country><region><li>Catalogne</li></region></list><tree><country name="Espagne"><region name="Catalogne"><name sortKey="Rodriguez, A" sort="Rodriguez, A" uniqKey="Rodriguez A" first="A." last="Rodríguez">A. Rodríguez</name></region><name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name><name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name><name sortKey="Rodriguez, A" sort="Rodriguez, A" uniqKey="Rodriguez A" first="A." last="Rodríguez">A. Rodríguez</name><name sortKey="Sanchez, Gemma" sort="Sanchez, Gemma" uniqKey="Sanchez G" first="Gemma" last="Sánchez">Gemma Sánchez</name><name sortKey="Sanchez, Gemma" sort="Sanchez, Gemma" uniqKey="Sanchez G" first="Gemma" last="Sánchez">Gemma Sánchez</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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