Registration of histopathological images obtained from different staining techniques is very challenging because of much difference of their color information. In this study, we propose a promising image registration method that can overcome the color difference of H&E and EVG stained images by means of GAN-based color conversion. Our proposed method consists of two main parts: one is GAN based unsupervised domain adaptation network for converting H&E stained image to EVG stained image which has similar distribution with the original EVG stained image and the other is SURF feature based registration framework which provides the registered EVG stained image leveraging the generated EVG stained image obtained from the domain adaptation network. The experimental result shows that our proposed method is able to provide better registration result than the conventional method where domain adaptation technique is not incorporated.