A generic description of the concept lattices' classifier: application to symbol recognition

Authors:
Stéphanie Guillas;Karell Bertet;Jean-Marc Ogier
Affiliations:
L3I, Université de La Rochelle, La Rochelle, France;L3I, Université de La Rochelle, La Rochelle, France;L3I, Université de La Rochelle, La Rochelle, France
Venue:
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Year:
2005

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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.