Figure classification system of laser beam trace using Genetic Programming

摘要

This paper proposes a shape classification system using Genetic Programming. In this research, the classification tree for shape identification is generated based on velocity vectors drawn by a laser pointer. We confirm the classification tree can be used for shape identification, by adjusting the function set, target program size, crossover rate, and mutation rate to optimize Genetic Programming. As a result, my proposal makes it possible to classify the shape of a drawn figure in high accuracy of 0.960.