A new method of cathode-ray tube (CRT) monitors characterization is proposed. The features of this method are, it adopted a vision matching method to map some color appearance factors between self-luminous body and reflector surface colors, but without the complexity of using any color appearance model. It is a method that it has considered some color appearance factors. The neural networks were utilized to realize nonlinear mapping in color space. The experiment indicated that the method may improve the reproduction colors in different CRT when an arbitrary assigned color is to be displayed on a CRT screen, in office environment. Some simple network structure and small samples training method were adopted. The average color difference of training samples is 3.07 L*u*v* unit and that of testing samples is 4.55 L*u*v*. These results are smaller than the biggest acceptable color difference 10 L*u*v* unit. The results are satisfying. The method can be widely used by electronic-commerce and automation in office