A Genetic Algorithm for graphical pattern matching based on angle matching had been proposed. It has proven quite effective in matching simple patterns. However, the algorithm needs some modifications to enhance its accuracy on pattern matching when there are some differences between two patterns in terms of numbers of nodes, shapes and rotations. This paper presents the