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

Mickaël Coustaty (1) , Karell Bertet (1) , Muriel Visani (1) , Jean-Marc Ogier (1)

1 IDDC

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.

Mots clés: Signature Structurelle; Treillis de Galois; Analyse d'Images de Documents

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Mickaël Coustaty, Karell Bertet, Muriel Visani, Jean-Marc Ogier. A New Adaptive Structural Signature for Symbol Recognition By Using a Galois Lattice as a Classifier. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2011, 41 (4), pp.1136 - 1148. ⟨10.1109/TSMCB.2011.2108646⟩. ⟨hal-00859320⟩