IRJET- HANDWRITTEN EQUATION SOLVER USING CNN (original) (raw)
Using CNN to create a robust handwritten equation solver is a difficult task in image processing. One of the most difficult challenges in computer vision research is handwritten mathematical expression recognition. The work is made more difficult by the fact that certain characters are segmented and classified. a collection of quadratic equations created by hand This study looks at quadratic equations as well as a single quadratic equation. These equations must be recognised and solved. Horizontal compact projection analysis is used for segmentation. We use both connected component analysis and integrated connected component analysis methodologies. Convolutional Neural Networks Characters are classified using a network. Each appropriate is required for the solution of the problem. Character string operation is used for detection. Finally, the results of the experiment show that the strategy we've described is quite effective. The goal of this project is to create a handwritten alphabet. Equation solver capable of dealing with a wide range of mathematical equations.
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