Techniques for the automated testing of document analysis algorithms
Identifieur interne : 002473 ( Main/Exploration ); précédent : 002472; suivant : 002474Techniques for the automated testing of document analysis algorithms
Auteurs : J. Sauvola [Finlande, États-Unis] ; David Doermann [États-Unis, Finlande] ; H. Kauniskangas [Finlande] ; M. Pietik Inen [Finlande]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1997.
Abstract
Abstract: This paper proposes a new approach to automate and manage the testing process for developing document analysis and understanding algorithms. A distributed test environment is proposed to assure visibility, repeatability, scalability and consistency during and between testing sessions. A variety of views are used to deal with multi-level operations in algorithm development. Tests are realized with dedicated test scenarios and events at different stages of the development cycle. Our main objective is to provide collaborating researchers with a flexible means of generating consistent ways to validate algorithm behaviour in a target environment. This is accomplished with a simulated environment and underlying resources for each test scenarios. A set of techniques to design test events for test scenarios (e.g. module, integration, regression) is proposed aimed at promoting a black-board style research approach. To demonstrate the functionality of this approach, we have implemented a prototype and trace an example algorithm through the development process.
Url:
DOI: 10.1007/3-540-63791-5_15
Affiliations:
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