Performance evaluation of a robust method for mathematical expression recognition

Abstract

We proposed two methods for mathematical expression recognition. One is based on projection profile cutting and the other uses top-down and bottom-up strategies to analyze the two-dimensional structure of expressions. The paper describes the improvement of the latter method in terms of structural analysis robustness and application to matrix recognition. To evaluate the performance of our method, intensive experiments were carried out on a large variety of mathematical expression images which were collected from many mathematical journals.