A Component-Based Framework for Recognition Systems
Identifieur interne : 001600 ( Main/Exploration ); précédent : 001599; suivant : 001601A Component-Based Framework for Recognition Systems
Auteurs : Matthias Middendorf [Allemagne] ; Carsten Peust [Allemagne] ; Johannes Schacht [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
Abstract: The advantages of component-based software design have often been emphasized during the last years. This article describes the design and implementation of an object-oriented framework for document recognition systems. We use an operator-workitem-model for integrating numerous software components of various origins and written in different programming languages. This is done by defining two standardized interfaces, namely an operator-interface for the integrated recognition algorithms and a workitem-interface for all in- and output objects of the recognition algorithms. These conditions allow to arrange the operators in any successive order and any complexity to build a complete recognition system. For any choice and relative position of operators integrated, the framework provides facilities for parametrizing, testing and running. The reported works have been part of the project AdaptiveREAD which was funded by the German Federal Ministry of Education and Research.
Url:
DOI: 10.1007/978-3-540-24642-8_10
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: The advantages of component-based software design have often been emphasized during the last years. This article describes the design and implementation of an object-oriented framework for document recognition systems. We use an operator-workitem-model for integrating numerous software components of various origins and written in different programming languages. This is done by defining two standardized interfaces, namely an operator-interface for the integrated recognition algorithms and a workitem-interface for all in- and output objects of the recognition algorithms. These conditions allow to arrange the operators in any successive order and any complexity to build a complete recognition system. For any choice and relative position of operators integrated, the framework provides facilities for parametrizing, testing and running. The reported works have been part of the project AdaptiveREAD which was funded by the German Federal Ministry of Education and Research.</div>
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