We have developed a system for online handwritten mathematical expression recognition together with a user-interface for writing scientific articles.
A neural network is trained for recognizing each stroke and a recursive algorithm
parses the expression by combining neural network output and structure of the expression.
The interface associated with the proposed system integrates the built-in recognition capabilities of the Microsoft’s Tablet PC-API for recognizing textual input and also supports conversion of hand-drawn figures into PNG format, which enable the user to enter text, mathematics and draw figures in a single interface. After the recognition, all output is combined into one LATEX code and compiled into a PDF file.