Fuzzy rules-based system for description spatial relations among handwriting strokes
Rabiaa Zitouni, Hala Bezine, Najet Arous · 2019
Spatial relations are important ingredients for the interpretation of global meaning of structured objects as well as resolving the uncertainty caused by the ambiguities in the feature extraction stage. In this paper, we present a fuzzy rulebased system that accomplished the task of automated linguistic of spatial relationships between each neighboring pair of on-line handwritten stroke characters. We introduced the fuzzy logic in order to evaluate the possible interpretation and precision of the relation itself. The multiclass SVM classifiers are used for ourexperiment to classify the obtained spatial relations. Experiments usingMAYASTROUN database showed that the proposed method produces more intuitive results with a recognition rate of 94.82%. In fact, the experimental results highlighted that our approach outperforms other approaches that are reported in literature.