Recognition and Solution for Handwritten Equation Using Convolutional Neural Network
Md. Bipul Hossain, Feroza Naznin, Y. A. Joarder, Md Zahidul Islam, Md. Jashim Uddin · 2018
Robust handwritten character recognition is a tricky job in the area of image processing. Among all the problem handwritten mathematical expression recognition is one of the complicated issue in the area of computer vision research. Segmentation and classification of specific character makes the task more difficult. In this paper a group of handwritten quadratic equation as well as a single quadratic equation are considered to recognize and make a solution for those equation. Horizontal compact projection analysis and combined connected component analysis methods are used for segmentation. For classification of specific character we apply Convolutional Neural Network. Each of the correct detection, character string operation is used for the solution of the equation. Finally the experimental results shows the great effectiveness of our proposed system.