Neural Network Approach To Mathematical Expression Recognition System
Surendra P. Ramteke, Dhanashri V. Patil, Nilima P. Patil · 2012
Now a days there is a lot of development in smart devices which are combination of human intelligence and machines. Character recognition is one of the example of smart device and Mathematical expression recognition is belongs to such device which is developed to recognize handwritten as well as printed mathematical symbols and expressions. This system converts scientific or engineering documents in to its electronic form. In this work a purely offline approach is utilized. The main phases carried out to achieve the goal are pre-processing, segmentation, feature extraction, classification and recognition of symbols as well as mathematical expression. Out of these phases mainly important are feature extraction and classification because it affects overall accuracy of the system. In this system centroid and bounding box are the main features that are extracted from each character and this system is accomplished using neural network approach for the recognition of the expressions and symbols which provides 90% recognition rate.