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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Liu, W., & Josep Lladós (Eds.). (2005). Graphics Recognition: Ten Years Review and Future Perspectives. 6th International Workshop, GREC 2005 Hong Kong, China, August 25-26, 2005 Revised Selected Papers (Vol. 3926 LNCS, pp. 47–60).
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