Recognition of handwritten text has been a prominent problem in the field of image processing and recognition of handwritten mathematical equations is even more challenging due to a large variety of mathematical symbols and the complex structures of the equations. Also, mathematical equations are used in all kinds of scientific studies and by using a calculating software we can solve these equations easily and quickly with no errors. There are various kinds of software present online that detect mathematical equations written using a digital pen on the go. But there might be people who do not have access to a digital pen. To the best of our knowledge, there are no software present online that detect handwritten mathematical equations containing subscripts and superscripts by taking their images as input and predicting their corresponding notations.
In this project, we made a model that can process an image of a handwritten mathematical equation containing subscripts and superscripts, captured by a suitable sensor, recognise the equation and form the corresponding digital form of the equation. This digital form can be used as an input to various computational software.