Abstract
This paper presents a new method for visualization, understanding and recognition of artificial objects. The new method using linear combination is simple and needs only a few learning samples. Furthermore, it can strengthen the advantages of conventional methods while overcome their drawbacks. In addition, it is able to distinguish objects with very similar patterns and is more accurate than other conventional methods in the literature. Four experiments are included to demonstrate the method's simplicity and accuracy.