Symbol Recognition: Current Advances and Perspectives
Identifieur interne : 001850 ( Main/Exploration ); précédent : 001849; suivant : 001851Symbol Recognition: Current Advances and Perspectives
Auteurs : Josep Llad S [Espagne] ; Ernest Valveny [Espagne] ; Gemma Sánchez [Espagne] ; Enric Martí [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2002.
Abstract
Abstract: The recognition of symbols in graphic documents is an intensive research activity in the community of pattern recognition and document analysis. A key issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern recognition methods. In the second part of the paper, open and unaddressed problems involved in symbol recognition are described, analyzing their current state of art and discussing future research challenges. Thus, issues such as symbol representation, matching, segmentation, learning, scalability of recognition methods and performance evaluation are addressed in this work. Finally, we discuss the perspectives of symbol recognition concerning to new paradigms such as user interfaces in handheld computers or document database and WWW indexing by graphical content.
Url:
DOI: 10.1007/3-540-45868-9_9
Affiliations:
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Le document en format XML
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A key issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern recognition methods. In the second part of the paper, open and unaddressed problems involved in symbol recognition are described, analyzing their current state of art and discussing future research challenges. Thus, issues such as symbol representation, matching, segmentation, learning, scalability of recognition methods and performance evaluation are addressed in this work. Finally, we discuss the perspectives of symbol recognition concerning to new paradigms such as user interfaces in handheld computers or document database and WWW indexing by graphical content.</div></front></TEI><affiliations><list><country><li>Espagne</li></country><region><li>Catalogne</li></region><settlement><li>Barcelone</li></settlement><orgName><li>Université autonome de Barcelone</li></orgName></list><tree><country name="Espagne"><region name="Catalogne"><name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</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="Marti, Enric" sort="Marti, Enric" uniqKey="Marti E" first="Enric" last="Martí">Enric Martí</name><name sortKey="Marti, Enric" sort="Marti, Enric" uniqKey="Marti E" first="Enric" last="Martí">Enric Martí</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><name sortKey="Valveny, Ernest" sort="Valveny, Ernest" uniqKey="Valveny E" first="Ernest" last="Valveny">Ernest Valveny</name><name sortKey="Valveny, Ernest" sort="Valveny, Ernest" uniqKey="Valveny E" first="Ernest" last="Valveny">Ernest Valveny</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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