Image registration is the process of identification of the similar portions in the images and transforming the target image similar to the reference image. The registration process requires an effective point matching method for identifying similar portions in the images. The point matching methods identifies the most interested points in the images based on the identification of the edge portions in the images. The most interested points were then matched based on the matching process. The number of most interested points were minimized based on the identification of the outliers in the points. The performance of the process is measured based on the RMSE value calculated. Scale Invariant Feature Transform is a point selection method that selects the specific edge points in the image. The derivative of the images is calculated. The calculated values gives the changes in the color and the gray scale values of the image which indicates the informations in the image. The laplacian function calculates the edges in the images based on the derivative values. The values are then arranged in order in a matrix format. The values in a particular circle region is first chosen. The values in the chosen region were dilated. In the dilation process the values are compared and the values that have the lowest values are combined. Then the values that having the minimum values are then removed. The resulting points are saved as the HRL points. The Obtained HRL points are then used along with the image inorder to find the main orientation points in the image. Calculate the number of matching points. Key Points having similar invariant descriptors are considered as the matching points. The similarity is identified with the help of the distance calculation. The features that were having similar value will have small distance compared to others. The matching points identifies the similar portions in the images. The matching points were then used for the transformation of the image. Registration process is the transformation of the reference image similar to target. The transformation is employed by combining the identified matching key points from the reference and target images. The registration process is applied by replacing the matching pixel in the reference image with the target image. The registered image is similar to the reference image.