Image recognition based on evolutionary algorithm

In this article, we propose two methods based on the evolutionary algorithm to recognize simple and complex patterns in complex images with a lot of noise information. We also adjust the fitness function in the evolutionary algorithm to speed up the computation. Several experiments have also been made to show that through these methods and adjustment, via comparisons with fixed patterns, objects with different X and Y direction scale factors, rotation angle and translation in complex images can be recognized easily with very quite high precision.