Abstract
This paper presents the main design and development issues of the Qgar software environment for graphics recognition applications. We aim at providing stable and robust implementations of state-of-the-art methods and algorithms, within an intuitive and user-friendly environment. The resulting software system is open, so that our applications can be easily interfaced with other systems, and, conversely, that third-party applications can be “plugged” into our environment with little effort. The paper also presents a quick tour of the various components of the Qgar environment, and concentrates on the usefulness of this kind of system for testing and evaluation purposes.
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Keywords
- Document Analysis
- Document Image
- Image Processing Application
- Graphic Recognition
- Document Image Analysis
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Rendek, J., Masini, G., Dosch, P., Tombre, K. (2004). The Search for Genericity in Graphics Recognition Applications: Design Issues of the Qgar Software System. In: Marinai, S., Dengel, A.R. (eds) Document Analysis Systems VI. DAS 2004. Lecture Notes in Computer Science, vol 3163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28640-0_35
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DOI: https://doi.org/10.1007/978-3-540-28640-0_35
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