In the matching stage we correlate the edge pixels in the 9x9 template that is centered by the corner pixel in one image to the following image in the sequence. As we said above the correlation of the template is not done on the entire image. The assumption of the slight y movement and the putting threshold on the x direction movement improved our correlation method. Without this assumption the mismatches are inevitable. The scoring method that we used basically gives penalty to the mismatched edge pixels and rewards the matches. We observed that the choice of the window size for the matching template is crucial for getting good matches. As the window size gets larger the small group of edge pixels covered, which makes the scoring scheme difficult. But giving penalty to the unmatched edge pixels sometimes improve the optimal match case, although the matches are not perfect. We think that the reason for not getting perfect matches although there is almost no rotation, is that the slight contrast difference between the images of the same area resulting in different edge pixels. But the results that we get from the edge based mosaicing was satisfactory.