Mathematical Handwriting Recognition with a Neural Network and Calculation

Mathematical Handwriting Recognition with a Neural Network and Calculation Author: Tyler Sondag Date: 4/22/07 For Dr. Pokorny 's CSI 490 Course

Abstract The goal of this project was to create a software system that recognizes handwritten mathematical expressions and computes the answer. No special syntax or formatting was to be required for these expressions, since a major goal of this system was for users to be able to use the system without having to learn anything new. Support was desired for algebraic expressions, integrals, and summations. The Java programming language was chosen for this project because of its ability to be used on a number of different operating systems and architectures without recompiling the source code. A graphical front end was also desired in order for the system to be more user friendly.

Table of Contents 1. Introduction....................................................................................................................................3 2. Images............................................................................................................................................4 3. Neural Network..............................................................................................................................7 4. Scanner...........................................................................................................................................9 5. Parser............................................................................................................................................10 6. GUI...............................................................................................................................................11 7. Future Work.................................................................................................................................11 8.

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