Computer Aided Diagnosis (CADx) systems have been reached to a large usuage area in recent years. Blood vessels extracted from retinal fundus images provide us important features for diagnosis and treatment of some systematic diseases. These features such as bifurcation and crossover points are mostly used in image registration applications. In this paper, an image registration study is performed by using binary retinal vessel map. Firstly, a thinnig operation is performed in order to obtain skeletonized vessel image. Then feature points like bifurcations and crossovers are extracted in order to use for image registration. Lastly, a characteristic matrix is extracted to represent the retinal vessel network. Similar operations are performed on a second rotated, translated and scaled retinal vessel network image. By this way, two retinal vessel network images belong to the same person are compared and each feature points are paired with each others in order to develope an image registration process.