2010 | OriginalPaper | Buchkapitel
Fuzzy Intervals for Designing Structural Signature: An Application to Graphic Symbol Recognition
verfasst von : Muhammad Muzzamil Luqman, Mathieu Delalandre, Thierry Brouard, Jean-Yves Ramel, Josep Lladós
Erschienen in: Graphics Recognition. Achievements, Challenges, and Evolution
Verlag: Springer Berlin Heidelberg
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The motivation behind our work is to present a new methodology for symbol recognition. The proposed method employs a structural approach for representing visual associations in symbols and a statistical classifier for recognition. We vectorize a graphic symbol, encode its topological and geometrical information by an attributed relational graph and compute a signature from this structural graph. We have addressed the sensitivity of structural representations to noise, by using data adapted fuzzy intervals. The joint probability distribution of signatures is encoded by a Bayesian network, which serves as a mechanism for pruning irrelevant features and choosing a subset of interesting features from
structural signatures of underlying symbol set
. The Bayesian network is deployed in a supervised learning scenario for recognizing query symbols. The method has been evaluated for robustness against degradations & deformations on pre-segmented 2D linear architectural & electronic symbols from GREC databases, and for its recognition abilities on symbols with context noise
i.e. cropped symbols
.