title: A New Adaptive Structural Signature for Symbol Recognition by Using a Galois Lattice as a Classifier.
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.
authors.forename: M
authors.initials: M
authors.lastname: Coustaty
authors.forename: K
authors.initials: K
authors.lastname: Bertet
authors.forename: M
authors.initials: M
authors.lastname: Visani
authors.forename: J
authors.initials: J
authors.lastname: Ogier