An improved image pattern recognition and visual recognition by using evolutionary computation

Through the computer, we are able to simulate the vision, nowadays, the research and development of biological vision has made remarkable achievements. This paper proves that the evolutionary computation method is very versatile, and it can be used in many aspects of computer vision, and it often has a good performance. The receptive field and functional column structure in the visual neuroscience research have a strong impetus to the development of computer vision. Compared with the complex and natural biometric systems, existing image processing algorithms in image recognition processing to still have important drawbacks, complete function is far less than the human visual system to perfect image processing effect.