Online Handwritten Mathematical Expression Recognition

We describe a system for recognizing online, handwritten mathematical expressions, together with a user-interface for writing scientific articles. A neural network recognizes strokes and a recursive algorithm parses the expression by combining neural network output and the 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 supports conversion of hand-drawn figures into PNG format. This enables the user to enter text, mathematics and draw figures in a single interface. After recognition, all output is combined into one LATEX code and compiled into a PDF file.