Abstract:
"Handwritten mathematical equations are commonly used in various educational and
professional settings. However, these equations can be difficult to read, understand, and use
effectively, especially when they contain complex mathematical functions. Advanced
mathematical equation recognition and simplification tools are developed widely for linear
equations and polynomial equations. Even though certain tools are capable of solving more
complex equations but, most of them are limited in their service for a specific count of
equations and the accuracy level is very low. Hence the users have to spend a lot of money to get the services.
Therefore there is a need for a reliable approach to the recognition and simplification of
mathematical equations, especially when they contain radicals or trigonometric functions.
After conducting a deep analysis of the functionalities offered by the existing handwritten
mathematical equations recognition and simplification systems, the author focuses on
implementing the solution for recognizing and simplifying handwritten equations such as
radical equations and trigonometric equations. The proposed system combines a series of
computer vision, image processing, and mechanisms of feature extraction to recognize and
simplify the radical and trigonometric equations.
Keywords: Simplifying equations, Image Processing, Radical Equations, Trigonometric
Equations, Feature Extraction"
