Abstract
In this paper, we present the problem of noisy images recognition and in particular the stage of primitives selection in a classification process. We suppose that segmentation and statistical features extraction on documentary images are realized. We describe precisely the use of concept lattice and compare it with a decision tree in a recognition process. From the experimental results, it appears that concept lattice is more adapted to the context of noisy images.
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Guillas, S., Bertet, K., Ogier, JM. (2006). A Generic Description of the Concept Lattices’ Classifier: Application to Symbol Recognition. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_5
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DOI: https://doi.org/10.1007/11767978_5
Publisher Name: Springer, Berlin, Heidelberg
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