Structure relationship classification for the recognition of mathematical expression handwritten in Arabic

Abstract

An essential issue for the recognition of handwritten mathematical formulas is the identification of the structural relationships between each pairs of adjacent symbols that compose the entire mathematical formula. The classification of the structural relationship is a key problem as this classification often determines the semantic interpretation of an expression. In this work, we propose a system for the identification of spatial relationships based on geometric features and a new descriptor named spatial histogram. After the combination of extracted features, we classify the relationship into six different classes using four different classifiers in order to determine the most efficient. In our proposed system, a support vector machine (SVM) classifier, Random Forest, Adaboost and KNN are employed. Experimental results show that our features give promising results.