A Structural Representation Adapted to Handwritten Symbol Recognition
Identifieur interne : 000268 ( France/Analysis ); précédent : 000267; suivant : 000269A Structural Representation Adapted to Handwritten Symbol Recognition
Auteurs : Jean-Yves Ramel [France] ; Guillaume Boissier [France] ; Hubert Emptoz [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2000.
Abstract
Abstract: This paper presents a new strategy for localization and recognition of graphical entities in handwritten chemical formulas. The first part of the paper describes the context of this study. Next, the tools and methods needed for the automatic interpretation are defined. Our system includes a first phase of global perception of the document followed by a phase of incremental extraction of the sentation of the drawing and provides a precise description of all the shapes present in the initial image. Thereafter, this representation constitutes the main resource that will be used by different processes (specialists) achieving the interpretation of the drawing. The knowledge extracted from the intermediary representation (a structural graph) is used instead of the bitmap image material to drive the interpretation process.
Url:
DOI: 10.1007/3-540-40953-X_19
Affiliations:
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Einstein, 69621, Villeurbanne Cedex</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Villeurbanne</settlement></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2000</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">2550E801C2AD101825393A8DD6B882F50578796D</idno><idno type="DOI">10.1007/3-540-40953-X_19</idno><idno type="ChapterID">19</idno><idno type="ChapterID">Chap19</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 presents a new strategy for localization and recognition of graphical entities in handwritten chemical formulas. The first part of the paper describes the context of this study. Next, the tools and methods needed for the automatic interpretation are defined. Our system includes a first phase of global perception of the document followed by a phase of incremental extraction of the sentation of the drawing and provides a precise description of all the shapes present in the initial image. Thereafter, this representation constitutes the main resource that will be used by different processes (specialists) achieving the interpretation of the drawing. The knowledge extracted from the intermediary representation (a structural graph) is used instead of the bitmap image material to drive the interpretation process.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li></region><settlement><li>Villeurbanne</li></settlement></list><tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Ramel, Jean Yves" sort="Ramel, Jean Yves" uniqKey="Ramel J" first="Jean-Yves" last="Ramel">Jean-Yves Ramel</name></region><name sortKey="Boissier, Guillaume" sort="Boissier, Guillaume" uniqKey="Boissier G" first="Guillaume" last="Boissier">Guillaume Boissier</name><name sortKey="Emptoz, Hubert" sort="Emptoz, Hubert" uniqKey="Emptoz H" first="Hubert" last="Emptoz">Hubert Emptoz</name><name sortKey="Emptoz, Hubert" sort="Emptoz, Hubert" uniqKey="Emptoz H" first="Hubert" last="Emptoz">Hubert Emptoz</name><name sortKey="Ramel, Jean Yves" sort="Ramel, Jean Yves" uniqKey="Ramel J" first="Jean-Yves" last="Ramel">Jean-Yves Ramel</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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