Multi modal images need to be registered in order to use the unique information contained in these different modality images. In this paper, modifications on Scale Invariant Feature Transformation (SIFT), which is a popular method used for image matching, to improve its success on multi modal images are described. SIFT algorithm is immune to linear and partially immune to non-linear illumination changes. However, due to non linear illumination changes on multi-modal images, SIFT is not as powerful as it is on uni-modal images. A method that modifies the feature orientations considering the differences of multi modal images is described, and then, the proposed method which works by narrowing the feature descriptor vector orientations is explained.