A Comparative Study of Handwritten Mathematical Symbols Recognition
Yassine Chajri, Abdelkrim Maarir, Belaid Bouikhalene · 2016
In this paper we are going to apply four descriptors (GIST, PHOG, SURF and Centrist) and two classifiers (Artificial Neural Network (ANN) and Support Vector Machines (SVM)) for handwritten mathematical symbols recognition to achieve a comparative study based on the recognition rate.