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A New Adaptive Structural Signature for Symbol Recognition by Using a Galois Lattice as a Classifier

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4 Author(s)
Coustaty, M. ; L3i Lab., Univ. of La Rochelle, La Rochelle, France ; Bertet, K. ; Visani, M. ; Ogier, J.

In this paper, we propose a new approach for symbol recognition using structural signatures and a Galois lattice as a classifier. The structural signatures are based on topological graphs computed from segments which are extracted from the symbol images by using an adapted Hough transform. These structural signatures-that can be seen as dynamic paths which carry high-level information-are robust toward various transformations. They are classified by using a Galois lattice as a classifier. The performance of the proposed approach is evaluated based on the GREC'03 symbol database, and the experimental results we obtain are encouraging.

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Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:41 ,  Issue: 4 )