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

Authors:
M. Coustaty;K. Bertet;M. Visani;J. Ogier
Affiliations:
L3i Lab., Univ. of La Rochelle, La Rochelle, France;-;-;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
2011

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Abstract

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.